2 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…
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…
A Thin Format Vision-Based Tactile Sensor with A Micro Lens Array (MLA)
Xia Chen, Guanlan Zhang, Michael Yu Wang +1
Vision-based tactile sensors have been widely studied in the robotics field for high spatial resolution and compatibility with machine learning algorithms. However, the currently e…
DelTact: A Vision-based Tactile Sensor Using Dense Color Pattern
Guanlan Zhang, Yipai Du, Hongyu Yu +1
Tactile sensing is an essential perception for robots to complete dexterous tasks. As a promising tactile sensing technique, vision-based tactile sensors have been developed to imp…
A Tactile Sensing Foot for Single Robot Leg Stabilization
Guanlan Zhang, Yipai Du, Yazhan Zhan +1
Tactile sensing on human feet is crucial for motion control, however, has not been explored in robotic counterparts. This work is dedicated to endowing tactile sensing to legged ro…