6 citations · 15 across the 29 of their papers we have counts for
21 papers · 1 filter
RaggeDi: Diffusion-based State Estimation of Disordered Rags, Sheets, Towels and Blankets
Jikai Ye, Wanze Li, Shiraz Khan +1
Cloth state estimation is an important problem in robotics. It is essential for the robot to know the accurate state to manipulate cloth and execute tasks such as robotic dressing,…
Grasping by Hanging: a Learning-Free Grasping Detection Method for Previously Unseen Objects
Wanze Li, Wan Su, Gregory S. Chirikjian
This paper proposes a novel learning-free three-stage method that predicts grasping poses, enabling robots to pick up and transfer previously unseen objects. Our method first ident…
Design, Calibration, and Control of Compliant Force-sensing Gripping Pads for Humanoid Robots
Yuanfeng Han, Boren Jiang, Gregory S. Chirikjian
This paper introduces a pair of low-cost, light-weight and compliant force-sensing gripping pads used for manipulating box-like objects with smaller-sized humanoid robots. These pa…
RAIL: Robot Affordance Imagination with Large Language Models
Ceng Zhang, Xin Meng, Dongchen Qi +1
This paper introduces an automatic affordance reasoning paradigm tailored to minimal semantic inputs, addressing the critical challenges of classifying and manipulating unseen clas…
Prepare the Chair for the Bear! Robot Imagination of Sitting Affordance to Reorient Previously Unseen Chairs
Xin Meng, Hongtao Wu, Sipu Ruan +1
In this letter, a paradigm for the classification and manipulation of previously unseen objects is established and demonstrated through a real example of chairs. We present a novel…
PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration
Sipu Ruan, Weixiao Liu, Xiaoli Wang +2
This paper proposes a learning-from-demonstration method using probability densities on the workspaces of robot manipulators. The method, named "PRobabilistically-Informed Motion P…