3 citations · 5 across the 5 of their papers we have counts for
5 papers
Master Rules from Chaos: Learning to Reason, Plan, and Interact from Chaos for Tangram Assembly
Chao Zhao, Chunli Jiang, Lifan Luo +4
Tangram assembly, the art of human intelligence and manipulation dexterity, is a new challenge for robotics and reveals the limitations of state-of-the-arts. Here, we describe our…
Generative Artificial Intelligence in Robotic Manipulation: A Survey
Kun Zhang, Peng Yun, Jun Cen +11
This survey provides a comprehensive review on recent advancements of generative learning models in robotic manipulation, addressing key challenges in the field. Robotic manipulati…
Learning thin deformable object manipulation with a multi-sensory integrated soft hand
Chao Zhao, Chunli Jiang, Lifan Luo +3
Robotic manipulation has made significant advancements, with systems demonstrating high precision and repeatability. However, this remarkable precision often fails to translate int…
Volumetric-based Contact Point Detection for 7-DoF Grasping
Junhao Cai, Jingcheng Su, Zida Zhou +3
In this paper, we propose a novel grasp pipeline based on contact point detection on the truncated signed distance function (TSDF) volume to achieve closed-loop 7-degree-of-freedom…
Active Perception with A Monocular Camera for Multiscopic Vision
Weihao Yuan, Rui Fan, Michael Yu Wang +1
We design a multiscopic vision system that utilizes a low-cost monocular RGB camera to acquire accurate depth estimation for robotic applications. Unlike multi-view stereo with ima…