26 citations · 27 across the 5 of their papers we have counts for
6 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…
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…
Flipbot: Learning Continuous Paper Flipping via Coarse-to-Fine Exteroceptive-Proprioceptive Exploration
Chao Zhao, Chunli Jiang, Junhao Cai +3
This paper tackles the task of singulating and grasping paper-like deformable objects. We refer to such tasks as paper-flipping. In contrast to manipulating deformable objects that…
Learn to Grasp via Intention Discovery and its Application to Challenging Clutter
Chao Zhao, Chunli Jiang, Junhao Cai +3
Humans excel in grasping objects through diverse and robust policies, many of which are so probabilistically rare that exploration-based learning methods hardly observe and learn.…
ERRA: An Embodied Representation and Reasoning Architecture for Long-horizon Language-conditioned Manipulation Tasks
Chao Zhao, Shuai Yuan, Chunli Jiang +4
This letter introduces ERRA, an embodied learning architecture that enables robots to jointly obtain three fundamental capabilities (reasoning, planning, and interaction) for solvi…
Dynamic Flex-and-Flip Manipulation of Deformable Linear Objects
Chunli Jiang, Abdullah Nazir, Ghasem Abbasnejad +1
This paper presents the technique of flex-and-flip manipulation. It is suitable for grasping thin, flexible linear objects lying on a flat surface. During the manipulation process,…