1 citations · 1 across the 5 of their papers we have counts for
5 papers
Robot to Human Object Handover using Vision and Joint Torque Sensor Modalities
Mohammadhadi Mohandes, Behnam Moradi, Kamal Gupta +1
We present a robot-to-human object handover algorithm and implement it on a 7-DOF arm equipped with a 3-finger mechanical hand. The system performs a fully autonomous and robust ob…
Neural-Guided RuntimePrediction of Planners for Improved Motion and Task Planning with Graph Neural Networks
Simon Odense, Kamal Gupta, William G. Macready
The past decade has amply demonstrated the remarkable functionality that can be realized by learning complex input/output relationships. Algorithmically, one of the most important…
Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control
Salar Asayesh, Mo Chen, Mehran Mehrandezh +1
Multi-agent collision-free trajectory planning and control subject to different goal requirements and system dynamics has been extensively studied, and is gaining recent attention…
Generalized Grasping for Mechanical Grippers for Unknown Objects with Partial Point Cloud Representations
Michael Hegedus, Kamal Gupta, Mehran Mehrandezh
We present a generalized grasping algorithm that uses point clouds (i.e. a group of points and their respective surface normals) to discover grasp pose solutions for multiple grasp…
Identifying Multiple Interaction Events from Tactile Data during Robot-Human Object Transfer
Mohammad-Javad Davari, Michael Hegedus, Kamal Gupta +1
During a robot to human object handover task, several intended or unintended events may occur with the object - it may be pulled, pushed, bumped or simply held - by the human recei…