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HENI BEN AMOR
Check out publications section! • October: I will act as an Associate Editor for ICRA 2015. I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representation for Humanoid Robots at the Humanoids 2014 conference in Spain. RESEARCH - HENI BEN AMOR Heni Ben Amor. Grasping and Manipulation: Grasping and manipulation of objects are essential motor skills for robots to interact with their environment and perform meaningful, physical tasks. Robots are still far from being capable of human-level manipulation skills including in-hand or bi-manual manipulation of objects, interactions with non VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Luck, K; Ben Amor, H. (2017): Extracting Bimanual Synergies with Reinforcement Learning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, (IROS 2017). Campbell, J; Ben Amor, H. (2017): Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction, Proceedings ofthe
HENI BEN AMOR
Check out publications section! • October: I will act as an Associate Editor for ICRA 2015. I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representation for Humanoid Robots at the Humanoids 2014 conference in Spain. RESEARCH - HENI BEN AMOR Heni Ben Amor. Grasping and Manipulation: Grasping and manipulation of objects are essential motor skills for robots to interact with their environment and perform meaningful, physical tasks. Robots are still far from being capable of human-level manipulation skills including in-hand or bi-manual manipulation of objects, interactions with non VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Luck, K; Ben Amor, H. (2017): Extracting Bimanual Synergies with Reinforcement Learning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, (IROS 2017). Campbell, J; Ben Amor, H. (2017): Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction, Proceedings ofthe
HENI BEN AMOR
Check out publications section! • October: I will act as an Associate Editor for ICRA 2015. I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representation for Humanoid Robots at the Humanoids 2014 conference in Spain. RESEARCH - HENI BEN AMOR Heni Ben Amor. Grasping and Manipulation: Grasping and manipulation of objects are essential motor skills for robots to interact with their environment and perform meaningful, physical tasks. Robots are still far from being capable of human-level manipulation skills including in-hand or bi-manual manipulation of objects, interactions with non ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Luck, K; Ben Amor, H. (2017): Extracting Bimanual Synergies with Reinforcement Learning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, (IROS 2017). Campbell, J; Ben Amor, H. (2017): Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction, Proceedings ofthe
HENI BEN AMOR
Personal Homepage of Heni Ben Amor - Robotics and Machine Learning RESEARCH - HENI BEN AMOR Physical Human-Robot Interaction: Close phy sical interaction between robots and humans is a challenging aspect of robot development. For successful interaction and cooperation, the robot must have the ability to adapt its behavior to the human counterpart. ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Kerner, H.; Bell J.; Ben Amor, H. (2018). Context-Dependent Image Quality Assessment of JPEG Compressed Mars Science Laboratory MastcamImages using
HENI BEN AMOR
Personal Homepage of Heni Ben Amor - Robotics and Machine Learning RESEARCH - HENI BEN AMOR Physical Human-Robot Interaction: Close phy sical interaction between robots and humans is a challenging aspect of robot development. For successful interaction and cooperation, the robot must have the ability to adapt its behavior to the human counterpart. ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Kerner, H.; Bell J.; Ben Amor, H. (2018). Context-Dependent Image Quality Assessment of JPEG Compressed Mars Science Laboratory MastcamImages using
HENI BEN AMOR
Personal Homepage of Heni Ben Amor - Robotics and Machine Learning RESEARCH - HENI BEN AMOR Physical Human-Robot Interaction: Close phy sical interaction between robots and humans is a challenging aspect of robot development. For successful interaction and cooperation, the robot must have the ability to adapt its behavior to the human counterpart. VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Kerner, H.; Bell J.; Ben Amor, H. (2018). Context-Dependent Image Quality Assessment of JPEG Compressed Mars Science Laboratory MastcamImages using
HENI BEN AMOR
Check out publications section! • October: I will act as an Associate Editor for ICRA 2015. I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representation for Humanoid Robots at the Humanoids 2014 conference in Spain. VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. RESEARCH - HENI BEN AMOR Heni Ben Amor. Grasping and Manipulation: Grasping and manipulation of objects are essential motor skills for robots to interact with their environment and perform meaningful, physical tasks. Robots are still far from being capable of human-level manipulation skills including in-hand or bi-manual manipulation of objects, interactions with non ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Luck, K; Ben Amor, H. (2017): Extracting Bimanual Synergies with Reinforcement Learning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, (IROS 2017). Campbell, J; Ben Amor, H. (2017): Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction, Proceedings ofthe
HENI BEN AMOR
Check out publications section! • October: I will act as an Associate Editor for ICRA 2015. I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representation for Humanoid Robots at the Humanoids 2014 conference in Spain. VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. RESEARCH - HENI BEN AMOR Heni Ben Amor. Grasping and Manipulation: Grasping and manipulation of objects are essential motor skills for robots to interact with their environment and perform meaningful, physical tasks. Robots are still far from being capable of human-level manipulation skills including in-hand or bi-manual manipulation of objects, interactions with non ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Luck, K; Ben Amor, H. (2017): Extracting Bimanual Synergies with Reinforcement Learning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, (IROS 2017). Campbell, J; Ben Amor, H. (2017): Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction, Proceedings ofthe
HENI BEN AMOR
Check out publications section! • October: I will act as an Associate Editor for ICRA 2015. I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representation for Humanoid Robots at the Humanoids 2014 conference in Spain. VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. RESEARCH - HENI BEN AMOR Heni Ben Amor. Grasping and Manipulation: Grasping and manipulation of objects are essential motor skills for robots to interact with their environment and perform meaningful, physical tasks. Robots are still far from being capable of human-level manipulation skills including in-hand or bi-manual manipulation of objects, interactions with non ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Luck, K; Ben Amor, H. (2017): Extracting Bimanual Synergies with Reinforcement Learning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, (IROS 2017). Campbell, J; Ben Amor, H. (2017): Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction, Proceedings ofthe
HENI BEN AMOR
Check out publications section! • October: I will act as an Associate Editor for ICRA 2015. I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representation for Humanoid Robots at the Humanoids 2014 conference in Spain. VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. RESEARCH - HENI BEN AMOR Heni Ben Amor. Grasping and Manipulation: Grasping and manipulation of objects are essential motor skills for robots to interact with their environment and perform meaningful, physical tasks. Robots are still far from being capable of human-level manipulation skills including in-hand or bi-manual manipulation of objects, interactions with non ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Luck, K; Ben Amor, H. (2017): Extracting Bimanual Synergies with Reinforcement Learning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, (IROS 2017). Campbell, J; Ben Amor, H. (2017): Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction, Proceedings ofthe
HENI BEN AMOR
Check out publications section! • October: I will act as an Associate Editor for ICRA 2015. I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representation for Humanoid Robots at the Humanoids 2014 conference in Spain. VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. RESEARCH - HENI BEN AMOR Heni Ben Amor. Grasping and Manipulation: Grasping and manipulation of objects are essential motor skills for robots to interact with their environment and perform meaningful, physical tasks. Robots are still far from being capable of human-level manipulation skills including in-hand or bi-manual manipulation of objects, interactions with non ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Luck, K; Ben Amor, H. (2017): Extracting Bimanual Synergies with Reinforcement Learning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, (IROS 2017). Campbell, J; Ben Amor, H. (2017): Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction, Proceedings ofthe
HENI BEN AMOR
Check out publications section! • October: I will act as an Associate Editor for ICRA 2015. I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representation for Humanoid Robots at the Humanoids 2014 conference in Spain. VIDEOS - HENI BEN AMOR Interaction Learning for Real-Time Character Animation . Imitation Learning for Robot Grasping. Online Camera Registration and Object Tracking for Manipulation from Heni Ben Amor on Vimeo. RESEARCH - HENI BEN AMOR Heni Ben Amor. Grasping and Manipulation: Grasping and manipulation of objects are essential motor skills for robots to interact with their environment and perform meaningful, physical tasks. Robots are still far from being capable of human-level manipulation skills including in-hand or bi-manual manipulation of objects, interactions with non ABOUT - HENI BEN AMOR Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory.In 2018, he received the NSF CAREER Award - the National Science Foundation's most prestigious award in support of early-career faculty.He also received the Outstanding Assistant Professor Award and Fulton Teachg Award in2018.
CONTACT - HENI BEN AMOR Mail. Arizona State University Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe, AZ 85281 Office. Room 203-07, Centerpoint Phone: 480-965-2253 Email. hbenamor (at) asu.eduPUBLICATIONS
Luck, K; Ben Amor, H. (2017): Extracting Bimanual Synergies with Reinforcement Learning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, (IROS 2017). Campbell, J; Ben Amor, H. (2017): Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction, Proceedings ofthe
Heni Ben Amor
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ABOUT
I am an Assistant Professor at Arizona State University. My research focuses on advanced robotics and artificial intelligence.Read More
NEWS
• June: New paper together with Facebook Robotics accepted to CoRL 2019. Title: "DATA-EFFICIENT CO-ADAPTATION OF MORPHOLOGY AND BEHAVIOUR WITH DEEP REINFORCEMENT LEARNING". NEW! • June: 4 new papers accepted to IROS 2019: NEW! - "Learning Interactive Behaviors for Musculoskeletal Robots using Bayesian Interaction Primitives" - "Deep Learning of Proprioceptive Models for Robotic ForceEstimation"
- "Clone Swarms: Learning to Predict and Control Multi-Robot Systemsby Imitation"
- "Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient" • April: New paper accepted to RSS 2019 in Freiburg! Title:"Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks". • February: Our work was covered on national TV. The program CBS This Morning showed an interview and our robots. • February: We will be presenting our work on Intention Projectionat ICRA 2019.
• January: We successfully organized the Southwest RoboticsSymposium.
• October: New joint project with Intel on "Probabilistic Deep Reinforcement Learning". • October: New paper on "Evaluating Perception Systems for Autonomous Vehicles using Quality Temporal Logic". • September: I am looking for motivated Postdocs in machine learning. Interested? • September: New joint project with NASA JPL on robot manipulationin space.
• June: Happy to receive the FULTON OUTSTANDING ASSISTANT PROFESSOR Award for 2018-2019. • June: Happy to receive the ASU FSE - TOP 5% TEACHING AWARD at Arizona State University. • May: Two invited talks, two paper presentations, and member of the Best Paper Committee at ICRA 2018! - "Deep Predictive Models for Collision Risk Assessment inAutonomous Driving"
and
- "Extrinsic Dexterity through Active Slip Control using DeepPredictive Models
".
• March: I am a recipient of the NSF CAREER AWARD in 2018. Theproject title is:
CAREER: Preventive Robotics: Learning and Adaptation for Predictive Human Robot Symbiosis". • March: We have released a library for Bayesian Interaction primitives. Check it out here!
• March: New journal paper accepted to Autonomous Robots - "One-shot learning of human–robot handovers with triadic interaction meshes ". • Jan: Co-organized the Southwest Robotics Symposium at ASU. See our excellent line-up of speakers: Conference Link • Dec: New Arxive paper on "Deep Predictive Models for Collision Risk Assessment in Autonomous Driving"! • Nov: Our workshop proposal for "Virtual, Augmented, and Mixed Reality for Human-Robot Interaction" at HRI got accepted! Link to the workshop website here ! • Nov: Our workshop proposal for "Ergonomic Human-Robot Interaction" at ICRA 2018 got accepted! • Sept: New paper accepted to the International Conference on Robot Learning (CoRL) "Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction". • Sept: New paper accepted to ISRR 2018 "Should Robots Feel Pain?'" -- Towards a Computational Theory of Pain in Autonomous Systems. • Sept: Our research has been featured in the Arizona Republic. Seearticle!
• August: New interview with American Society of MechanicalEngineers. Article!
• July: Our research has been featured multiple times on BBC World. • July: We started a new project on "Human Intention Recognition for Space Exploration". More info here. • July: I will be giving an invited talk in the Evo-Deco Workshop at Living Machines in Stanford! • June: Two new papers accepted to IROS 2017: (a) "Robots that Anticipate Pain: Anticipating Physical Perturbations from Visual Cues through Deep Predictive Models" and (b) "Extracting Bimanual Synergies with Reinforcement Learning"! • June: Our work is featured on CBS News - video here!
• June: New interview on collaborative robotics with the Mechanical Engineers journal! Link here! • June: We have been featured on NPR - KJZZ. Together with Dan Aukes I talked about our robot turtle. Link here! • May: Congratulations to my Ph.D. students Kevin Luck, Trevor Barron, Joe Campbell for their internships at Google Deepmind, Honda Research Institute, and University of Osaka. • April: Two new accepted papers at RSS 2017 and Living Machines 2017: "From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion" (RSS 2017 @ MIT), and "Bio-inspired Robot Design Considering Load-bearing and Kinematic Ontogeny of Chelonioidea Sea Turtles"
(Living Machines 2017 @ Stanford). • April: New interview with NewScientist on collaborative robotics. Article!
• March: We presented our robots at the Engineering the Future eventat ASU!
• March: Invited talks at Honda Research Institute, Bosch, andIntuitive Surgical.
• January: New paper accepted at ICRA 2017 - "A System for Learning Continuous Human-Robot Interactions from Human-Human Demonstrations".
• January: Joe Campbell receives the NSF EAPSI Award! Joe will spend the summer with our collaborators in Osaka,Japan. • December: Our project got selected for the Robotiq Tactile Sensorprogram!
• December: A new interview for the ASU Now website on the HBO series "Westworld". Article here.
• November: Our work on "Learning Human-Robot Interaction from Human-Human Interactions" received the BEST VIDEO AWARD at IEEE Humanoids 2016 in Mexico. Award Picture here!
• November: Our robot learning to play basketball is featured in an extended interview by Motherboard. Article here.
• November: Research has been featured in ASU Nowand Recode
.
Articles on our basketball-playing robot "Sun Devil-RX". • October: Our lab's research has been featured in both the online and print version of the NEW SCIENTIST. Check it out! • September: Our lab member Nikhil Kalige graduated with a Master and will join Intuitive Surgical as robotics engineer. • September: Our lab is mentioned in a recent article by the TechEmergence website! Check it out. • August: My talk at Columbia University during the RO-MAN conference was covered in German news website!See article.
• August: New paper accepted at IROS2016 in South Korea on "Estimating Perturbations from Experience using Neural Networks and Information Transfer" • June: I am organizing a Autonomous Robots - Journal special issue on "Learning for Human-Robot Collaboration" - find the Call-for-Papers under this link!
• June: Gave a talk at Phoenix Comicon on "The Science of Iron Man", see an article on the topic here: article! • May: I organized a joint workshop on "DeepLearning and EmbeddedTechnology"
together with Nvidia! Thanks to Jon Saposhnik from Nvidia for thegenerous support!
• May: Invited talks Ecole de Technologie Superieure (Montreal), Universite Lavalle, and Columbia University (New York). • May: New paper accepted to ROMAN 2016 "Projecting Robot Intentions into Human Environments"! • April: I will be giving an invited talk at the "Human Robot Collaboration Towards Co-Adaptive Learning through Semi-Autonomy andShared Control "
Workshop at IROS 2016 in Daejon Korea. • March: I will be giving an invited talk at the "Behavior, Adaptation and Learning for Assistive Robotics" (BAILAR) workshop at IEEE ROMAN 2016in New York.
• March: We have released a MATLAB implementation of "Sparse Latent Space Policy Search", see this link!
• February: Manuscript available for our new AAMAS paper "Directing Policy Search with Interactively Taught Via-Points" • February: Check out our lab website: http://lab.engineering.asu.edu/interactive-robotics/ • February: IJCAI-2016 Workshop "Interactive Machine Learning: Connecting Humans and Machines" together with my dear colleagues Kaushik Subramanian, Andrea Thomaz, and Charles Isbell. • February: The interactive Robotics Lab participated in AAAI 2016with a robot demo!
• January: New article about our group in the ASU Now newsletter! • January: New paper accepted to AAMAS 2016: "Directing Policy Search with Interactively Taught Via-Points"! • January: New ICRA paper accepted "Experience-based Torque Estimation for an Industrial Robot". See you in Stockholm! • November: Nominated to IJCAI 2016 Senior Program Committee. • November: Our new paper "SPARSE LATENT SPACE POLICY SEARCH" together
with my first PhD student Kevin S. Luckat Arizona
State University has been accepted to AAAI 2016. Only about 26% of
the papers were accepted. • October: Robotiq -one of the leading companies in robotic hands- interviewed me on my views on human-robot collaboration and put the result up as a podcast. Check it out here.
• August: My research on intuitive human-robot interaction has been featured on IEEE Spectrum and a variety of other news sources. See the full video here.
• Fall: I will be teaching the CSE 591 Research Seminar: "Advances in Robot Learning" at ASU during Fall 2015. You can find a description of the syllabus here.
• August: Starting as an Assistant Professor for Robotics at ArizonaState University !
• June: Two new accepted papers "Occlusion Aware Object Localization, Segmentation and Pose Estimation" (British
Machine Vision Conference) and " A Taxonomy of Benchmark Tasks for Bimanual Manipulators" (International Symposium on Robotics Research).Pdf coming soon!
• June: Appointed Associate Editor for the new IEEE _Robotics and Automation Letters_ (RA-L)journal!
• May: Invited talk on "Robot Learning for Grasping and Manipulation" at ICRA 2015. • May: Our paper Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitivesis
nominated for three paper awards including the overall BEST PAPER AWARD of the ICRA 2015 conference in Seattle! • April: Invited talk on "Motor Skill Learning for Interactive Robots" at the University of Texas at Austin. A big thank you to Luis Sentis, Peter Stone and Ashish Deshpande! • March: I will give an invited talk in the workshop “Learning for Human-Robot Collaboration” at the 2015 IEEE International Symposium on Robot and Human Interactive Communication to be held in Kobe,Japan.
• March: We will organize a workshop on Learning for Visual andTactile Interaction
at
RSS 2015 in Rome, Italy. We have great invited speakers. Please consider submitting a workshop paper! • February: Satya won the Gwinnett Science Fair! Satya received several awards and will directly proceed to the prestigious Intel International Science Fair.
As a mentor, I am very proud of him and looking forward to go to the Intel international science fair in Pittsburgh in May. • January: Our two papers to ICRA 2015 have been accepted! The papers address (1) Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitivesand
(2) Exploiting Symmetries and Extrusions for Grasping HouseholdObjects
.
• December: I will give an invited talk about "Machine Learning for Grasping and Manipulation" at the ICRA 2015 workshop on grasping. Linkto Workshop!
• December: I was selected to be part of a committee for theMINTernational
award. Our committee will select the top German universities with internationalization efforts. • November Our paper Online Multi-Camera Registration for Bimanual Workspace Trajectoriesis a
FINALIST FOR TWO BEST PAPER AWARDSat Humanoids 2014!
• October Our paper on Perturbation Estimation from low-cost sensors has been accepted to the Advanced Robotics journal!
• October: All of our three paper submission to Humanoids 2014 have been accepted for oral presentations. Check out publications section! • October: I will act as an Associate Editor for ICRA 2015 . I will cover the fields of Human-Robot Interaction and Machine Learning. • October: I am organizing a workshop on Policy Representationfor Humanoid Robots
at the
Humanoids 2014 conference in Spain. • August: Our paper Dynamic Mode Decomposition for Perturbation Estimation in Human-Robot Interactionwas
nominated for a Paper Award at the IEEE ROMAN 2014 conference! • April: Our paper on Latent Space Policy Searchhas been
accepted to IROS 2014! The paper introduces a novel reinforcement learning algorithm that can reduce the dimensionality of a task duringlearning.
• We have 2 posters accepted at the RSS workshop Human versus Robot Grasping and Manipulation ! Congratulations to our students Neil Dantam and Ana Huaman! The papers deal with fault recovery in graspingand
bi-manual grasping and hand-over.
• Neil Dantam will present our paper Online Camera Registration forRobot Manipulation
at
ISER 2014 in Morroco. • Our paper on Dynamic Mode Decomposition for Perturbation Estimation in Human Robot Interactionwas
accepted to ROMAN 2014. The paper shows how machine learning can be used to estimate external perturbations using low-cost sensors. • We have presented our recent work on Interaction Primitives at the ICRA Conference in Hong Kong. Interaction Primitives are a new representation for imitation learning in human-robot interactiontasks.
• I was asked to act as an associate editor of the new journal Frontiers in Robotics and AI . Looking forward to thisexciting task!
• I edited a special issue of the Autonomous Robotsjournal on
grasping and manipulation. The special issue contains the state-of-the-art in this field. It also contains four papers on the DARPA ARM project. Check it out! • I was awarded a Daimler-BenzTravel Award for
my research on Human-Robot Interaction! Powered by Create your own unique website with customizable templates. Get StartedDetails
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