Search Results for author:
Found 3 papers, 0 papers with code
Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments
Combining symbolic and geometric reasoning in multi-agent systems is a challenging task that involves planning, scheduling, and synchronization problems.
Co-manipulation of soft-materials estimating deformation from depth images
The model estimates the current deformation state through a Convolutional Neural Network, specifically a DenseNet-121 pretrained on ImageNet. The delta between the current and the desired deformation state is fed to the robot controller that outputs twist commands.
Learning Action Duration and Synergy in Task Planning for Human-Robot Collaboration
The duration of an action depends on agents' capabilities and the correlation between actions performed simultaneously by the human and the robot.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
