16 papers · 1 filter
Learning to Throw Objects Safely in Multi-Obstacle Environments
Mohammadreza Kasaei, Klemen Voncina, Hamidreza Kasaei
Robotic throwing enables fast and efficient object placement beyond the robot's immediate workspace, but reliable throwing in cluttered environments remains underexplored. Existing…
Enhancing Interpretability and Interactivity in Robot Manipulation: A Neurosymbolic Approach
Georgios Tziafas, Hamidreza Kasaei
In this paper we present a neurosymbolic architecture for coupling language-guided visual reasoning with robot manipulation. A non-expert human user can prompt the robot using unco…
Parse-Augment-Distill: Learning Generalizable Bimanual Visuomotor Policies from Single Human Video
Georgios Tziafas, Jiayun Zhang, Hamidreza Kasaei
Learning visuomotor policies from expert demonstrations is an important frontier in modern robotics research, however, most popular methods require copious efforts for collecting t…
Fast Trajectory Planner with a Reinforcement Learning-based Controller for Robotic Manipulators
Yongliang Wang, Hamidreza Kasaei
Generating obstacle-free trajectories for robotic manipulators in unstructured and cluttered environments remains a significant challenge. Existing motion planning methods often re…
VITAL: Interactive Few-Shot Imitation Learning via Visual Human-in-the-Loop Corrections
Hamidreza Kasaei, Mohammadreza Kasaei
Imitation Learning (IL) has emerged as a powerful approach in robotics, allowing robots to acquire new skills by mimicking human actions. Despite its potential, the data collection…
Co-NavGPT: Multi-Robot Cooperative Visual Semantic Navigation Using Vision Language Models
Bangguo Yu, Qihao Yuan, Kailai Li +2
Visual target navigation is a critical capability for autonomous robots operating in unknown environments, particularly in human-robot interaction scenarios. While classical and le…