Posture Estimation in Teleoperation
Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, and Tucker Hermans
Utah Robotics Center, The University of Utah
3D Posture estimation is a challenge in ergononomic risk assessment in teleoperation and physical human-robot interaction. Vision-based approaches and moption captuer systems suffer from occlusion and uncertainties due to close proximity of the human and the interacting robot.
To address this issue, we propose two approaches that are inclueded in two papers:
Submitted to ACM THRI-Special Issue on AI-HRI