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Kelin Li

4 accepted papers

2025

GraphGarment: Learning Garment Dynamics for Bimanual Cloth Manipulation Tasks

IROS 2025

Physical manipulation of garments is often crucial when performing fabric-related tasks, such as hanging garments. However, due to the deformable nature of fabrics, these operations remain a significant challenge for robots in household, healthcare, and industrial environments. In this paper, we pro

Cited by 6SourceScholar
2025

Haptic-ACT: Bridging Human Intuition with Compliant Robotic Manipulation via Immersive VR

IROS 2025

Robotic manipulation is essential for the widespread adoption of robots in industrial and home settings and has long been a focus within the robotics community. Advances in artificial intelligence have introduced promising learning-based methods to address this challenge, with imitation learning eme

Cited by 8SourceScholar
2022

EfficientGrasp: A Unified Data-Efficient Learning to Grasp Method for Multi-Fingered Robot Hands

RA-L 2022

Autonomous grasping of novel objects that are previously unseen to a robot is an ongoing challenge in robotic manipulation. In the last decades, many approaches have been presented to address this problem for specific robot hands. The UniGrasp framework, introduced recently, has the ability to gener

Cited by 24SourceScholar