Sim2real, that is, the transfer of learned control policies from simulation to real world, is an area of growing interest in robotics due to its potential to efficiently handle complex tasks. The sim2real approach faces challenges due to mismatches between simulation and reality. These discrepancies arise from inaccuracies in modeling physical phenomena and asynchronous … [Read more...] about Engine Agnostic Graph Environments for Robotics (EAGERx): A Graph-Based Framework for Sim2real Robot Learning
Delays
A Hybrid Visual–Haptic Framework for Motion Synchronization in Human–Robot Cotransporting
In this article, we propose a hybrid visual–haptic framework enabling a robot to achieve motion synchronization in human–robot cotransporting. Visual sensing is employed in capturing human motion in real time. To deal with the inherent delays between the human’s initiative motion and the robot’s responsive motion in cotransporting, a human motion prediction method is developed … [Read more...] about A Hybrid Visual–Haptic Framework for Motion Synchronization in Human–Robot Cotransporting
