IROS 2020 Workshop:
Human Movement Understanding for Intelligent Robots and Systems
Category : Machine Learning(ML), Biomechanics(BM), Social Impacts(SI)
Robotics research has drawn much inspiration from humans as a system: in the design of the anthropomorphic aspects of manipulators, sensors, and actuators, approaches for coordinating full body motions, and the higher level strategies for realizing complex tasks and interacting with the external environment and other humans. Today, robotics as a field has matured to the point where methodologies developed and used in robotics may be leveraged to address research questions in many other fields, ranging from neuroscience to computer animation. Together with the tools from biomechanics, robotics enables our efforts to explore natural human motion, leading to improvements in treatments for patients with neuro-musculoskeletal disorders, and facilitating development of human-inspired robots. Using robotics methods and control theory, we aim at gaining fundamental insight into natural human movement, and understanding the mechanisms that lead to improved quality of treatment and rehabilitation. Using biomechanics, we aim at exploring the relationships between muscle mechanics, form, and function, and creating subject specific dynamics simulations to explain the causes of movement abnormalities. Through this workshop, we hope to create a focal point for this emerging interdisciplinary research field, facilitate dissemination within both the robotics and biomechanics research fields, and share the contributions and the emerging applications with the broader scientific community.
BM1: Ko Yamamoto (University of Tokyo)
Title: Compliance Optimization for Humanoid Robots
BM2: Tomohiro Shibata (Kyushu Institute of Technology)
Title: Unobtrusive Robotic Assistance of Human Motor Control and Learning
BM3: Etienne Burdet (Imperial College London)
SI1: Tadej Petric (Jozef Stefan Institute)
Title: Leader-follower dynamics for physical collaboration in human dyads
SI2: Arash Ajoudani (Institute Italiano di Tecnologia)
Title: Ergonomics Anticipation and management in human-robot interaction
SI3: Jim Mainprice (University of Stuttgart, Germa)
Title: Data-driven Human Behavior Models for Proactive Robots
ML1: Taizo Yoshikawa (Innovative Research Excellence, Honda R&D Japan)
Title: Human Movement Understanding by Human Dynamics and Machine Leaning:
--- Identification of Human Balance Controller ---
ML2: Viktor Losing (Honda Research Institute EU)
Title: Retrospective Pseudo Labels for Online Adaptation
ML3: Auke Jan Ijspeertv (Biorobotics Laboratory, EPFL)
Title: Interaction of central pattern generators and reflexes in human locomotion
IROS On-Demand will be released Oct 25, 2020 and content will be available for 1-month minimum.
Presenters are requested to prepare a Workshop Video and submit to this Workshop Chair. Please use the following guidelines for your video: Duration: 60-min maximum; File size: 200 MB maximum; Minimum Height: 480 pixels; Aspect Ratio: 16:9.
We accept final submission of invited presenters.
IEEE RAS TC Human Movement Understanding