Dana                                             katja_mombaur

Dana Kulić, University of Waterloo                        Katja Mombaur, University of Heidelberg



The human body and its movement have long been a focus of study in physiology, anatomy, biomechanics and neuroscience. More recently, the design and movement strategies of the body have become an important source of inspiration for humanoid and wearable robotics researchers. With its unique combination of physical structure and neuromuscular control mechanisms, the human body can perform a wide range of agile and dexterous movements, often in the most efficient way possible. Over the past three decades, much progress has been made in developing methods for the modeling, analysis, synthesis, and optimization of articulated bodies. These methods have not only improved our knowledge and understanding of the mechanisms underlying human movement, but have also been effectively applied to humanoid robot design and control. More generally, the use of quantitative human motion analysis and synthesis is creating new applications in, e.g., medical diagnosis, monitoring and feedback during rehabilitation and sports training, animation, ergonomic analysis and design, and improved rehabilitation and assistive robots and devices. This workshop aims to bring together the main research themes in this emerging field, to highlight the utility of movement science for robotics, synthesize the key insights learned to date, and to illustrate emerging research contributing both to robotics and human movement understanding.

Topics of Interest

● Kinematic and dynamic modeling and analysis of the human body
● Dynamic parameter estimation and optimum experimental design
● Optimal control of human and humanoid motions
● Inverse optimal control for identification of objective functions during human motor
● Motion recognition, segmentation, modeling, and analysis
● Quantitative analysis methods for rehabilitation and sports training
● Neuromuscular control
● Musculoskeletal dynamics
● Rehabilitation robotics
● Human motion analysis and understanding for imitation learning and human-robot interaction
● Human-inspired control algorithms for robots
● Model-predictive control for movement science
● Human movement informing the design and control of assistive devices, exoskeletons
and prostheses
● Robotics-based motion synthesis