1 citations · 1 across the 4 of their papers we have counts for
4 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…
CompdVision: Combining Near-Field 3D Visual and Tactile Sensing Using a Compact Compound-Eye Imaging System
Lifan Luo, Boyang Zhang, Zhijie Peng +5
As automation technologies advance, the need for compact and multi-modal sensors in robotic applications is growing. To address this demand, we introduce CompdVision, a novel senso…
Reconfigurable, Transformable Soft Pneumatic Actuator with Tunable 3D Deformations for Dexterous Soft Robotics Applications
Dickson Chiu Yu Wong, Mingtan Li, Shijie Kang +2
Numerous soft actuators based on PneuNet design have already been proposed and extensively employed across various soft robotics applications in recent years. Despite their widespr…