activity
20202025
most citedRigid-Soft Interactive Learning for Robust Grasping

24 citations · 48 across the 8 of their papers we have counts for

collaborators

14 papers

cs.RO2025

One-DoF Robotic Design of Overconstrained Limbs with Energy-Efficient, Self-Collision-Free Motion

Yuping Gu, Bangchao Huang, Haoran Sun +6

While it is expected to build robotic limbs with multiple degrees of freedom (DoF) inspired by nature, a single DoF design remains fundamental, providing benefits that include, but…

cs.RO2025

MagiClaw: A Dual-Use, Vision-Based Soft Gripper for Bridging the Human Demonstration to Robotic Deployment Gap

Tianyu Wu, Xudong Han, Haoran Sun +4

The transfer of manipulation skills from human demonstration to robotic execution is often hindered by a "domain gap" in sensing and morphology. This paper introduces MagiClaw, a v…

cs.RO2025

A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition

Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans +59

Robotic cloth manipulation suffers from a lack of standardized benchmarks and shared datasets for evaluating and comparing different approaches. To address this, we created a bench…

cs.RO2023

Active Surface with Passive Omni-Directional Adaptation of Soft Polyhedral Fingers for In-Hand Manipulation

Sen Li, Fang Wan, Chaoyang Song

Track systems effectively distribute loads, augmenting traction and maneuverability on unstable terrains, leveraging their expansive contact areas. This tracked locomotion capabili…

cs.RO20211 cited

Learning-based Optoelectronically Innervated Tactile Finger for Rigid-Soft Interactive Grasping

Linhan Yang, Xudong Han, Weijie Guo +3

This paper presents a novel design of a soft tactile finger with omni-directional adaptation using multi-channel optical fibers for rigid-soft interactive grasping. Machine learnin…

cs.RO20201 cited

Design of an Optoelectronically Innervated Gripper for Rigid-Soft Interactive Grasping

Linhan Yang, Xudong Han, Weijie Guo +4

Over the past few decades, efforts have been made towards robust robotic grasping, and therefore dexterous manipulation. The soft gripper has shown their potential in robust graspi…