5 papers · 1 filter
NeuralTouch: Neural Descriptors for Precise Sim-to-Real Tactile Robot Control
Yijiong Lin, Bowen Deng, Keju Pu +4
Grasping accuracy is a critical prerequisite for precise object manipulation, often requiring careful alignment between the robot hand and object. Neural Descriptor Fields (NDF) of…
Text2Touch: Tactile In-Hand Manipulation with LLM-Designed Reward Functions
Harrison Field, Max Yang, Yijiong Lin +3
Large language models (LLMs) are beginning to automate reward design for dexterous manipulation. However, no prior work has considered tactile sensing, which is known to be critica…
Classification of Vision-Based Tactile Sensors: A Review
Haoran Li, Yijiong Lin, Chenghua Lu +3
Vision-based tactile sensors (VBTS) have gained widespread application in robotic hands, grippers and prosthetics due to their high spatial resolution, low manufacturing costs, and…
AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch
Max Yang, Chenghua Lu, Alex Church +6
Human hands are capable of in-hand manipulation in the presence of different hand motions. For a robot hand, harnessing rich tactile information to achieve this level of dexterity…
DexiTac: Soft Dexterous Tactile Gripping
Chenghua Lu, Kailuan Tang, Max Yang +2
Grasping object,whether they are flat, round, or narrow and whether they have regular or irregular shapes,introduces difficulties in determining the ideal grasping posture, even fo…