3 papers
cs.RO2026
Monocular Vision Based Control Framework for Grasping
Shail Jadav, Dongheui Lee
Grasping in unstructured environments requires handling objects with widely different mechanical properties, from soft and deformable items to rigid everyday objects. Most existing…
cs.RO2026
LOPAL: Local Performance-Aware Active Learning from Imperfect Demonstrations
Johannes Heidersberger, Shail Jadav, Dongheui Lee
Learning from Demonstration (LfD) enables intuitive robot skill acquisition by allowing robots to learn directly from human task demonstrations. However, current methods often fail…
cs.RO2025
REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly
Daniel Sliwowski, Shail Jadav, Sergej Stanovcic +3
Robotic manipulation remains a core challenge in robotics, particularly for contact-rich tasks such as industrial assembly and disassembly. Existing datasets have significantly adv…