Rolf M, Steil JJ, Gienger M. Efficient exploration and learning of whole body kinematics. In: IEEE 8th International Conference on Development and Learning. 2009: 1-7
The advancement of robotics in recent years has driven the growth of robotic applications for more c...
Chapter 4 Experiment design, data acquisition and signal processing Gait variability (GV) from kine...
Deep reinforcement learning offers a flexible approach to learning physics-based locomotion. However...
Rolf M, Steil JJ, Gienger M. Learning Flexible Full Body Kinematics for Humanoid Tool Use. In: Int....
Creating large-scale public datasets of human motion biomechanics could unlock data-driven breakthro...
Proceedings of: 2010 IEEE International Conference on Robotics and Automation (ICRA'10), May 3-8, 20...
Humans exploit dynamics—gravity, inertia, joint coupling, elasticity, and so on—as a regular part of...
The dynamics of the human body can be described by the accelerations and masses of the different bod...
The dataset contain full-body kinematics for walking, with and without stops, stair ambulation, obst...
Kober J, Gienger M, Steil JJ. Learning Movement Primitives for Force Interaction Tasks. In: ICRA. I...
Sprinting is multifactorial and dependent on a variety of kinematic, kinetic, and neuromuscular feat...
Humans can interact with their environment by tuning the properties of the musculoskeletal system to...
Two Web-based laboratory modules have been developed and implemented for reinforcing basic concepts ...
To better understand human movements, biomechanical models must be developed that accurately describ...
Programming a robot to complete a task in 3D space has become too complicated. Therefore an alternat...
The advancement of robotics in recent years has driven the growth of robotic applications for more c...
Chapter 4 Experiment design, data acquisition and signal processing Gait variability (GV) from kine...
Deep reinforcement learning offers a flexible approach to learning physics-based locomotion. However...
Rolf M, Steil JJ, Gienger M. Learning Flexible Full Body Kinematics for Humanoid Tool Use. In: Int....
Creating large-scale public datasets of human motion biomechanics could unlock data-driven breakthro...
Proceedings of: 2010 IEEE International Conference on Robotics and Automation (ICRA'10), May 3-8, 20...
Humans exploit dynamics—gravity, inertia, joint coupling, elasticity, and so on—as a regular part of...
The dynamics of the human body can be described by the accelerations and masses of the different bod...
The dataset contain full-body kinematics for walking, with and without stops, stair ambulation, obst...
Kober J, Gienger M, Steil JJ. Learning Movement Primitives for Force Interaction Tasks. In: ICRA. I...
Sprinting is multifactorial and dependent on a variety of kinematic, kinetic, and neuromuscular feat...
Humans can interact with their environment by tuning the properties of the musculoskeletal system to...
Two Web-based laboratory modules have been developed and implemented for reinforcing basic concepts ...
To better understand human movements, biomechanical models must be developed that accurately describ...
Programming a robot to complete a task in 3D space has become too complicated. Therefore an alternat...
The advancement of robotics in recent years has driven the growth of robotic applications for more c...
Chapter 4 Experiment design, data acquisition and signal processing Gait variability (GV) from kine...
Deep reinforcement learning offers a flexible approach to learning physics-based locomotion. However...
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