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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…
Learning Dual-Arm Coordination for Grasping Large Flat Objects
Yongliang Wang, Hamidreza Kasaei
Grasping large flat objects, such as books or keyboards lying horizontally, presents significant challenges for single-arm robotic systems, often requiring extra actions like pushi…
Enhanced View Planning for Robotic Harvesting: Tackling Occlusions with Imitation Learning
Lun Li, Hamidreza Kasaei
In agricultural automation, inherent occlusion presents a major challenge for robotic harvesting. We propose a novel imitation learning-based viewpoint planning approach to activel…
Learning Dual-Arm Push and Grasp Synergy in Dense Clutter
Yongliang Wang, Hamidreza Kasaei
Robotic grasping in densely cluttered environments is challenging due to scarce collision-free grasp affordances. Non-prehensile actions can increase feasible grasps in cluttered e…
ManiSkill-ViTac 2025: Challenge on Manipulation Skill Learning With Vision and Tactile Sensing
Chuanyu Li, Renjun Dang, Xiang Li +8
This article introduces the ManiSkill-ViTac Challenge 2025, which focuses on learning contact-rich manipulation skills using both tactile and visual sensing. Expanding upon the 202…