6 papers
TacVLA: Contact-Aware Tactile Fusion for Robust Vision-Language-Action Manipulation
Kaidi Zhang, Heng Zhang, Zhengtong Xu +7
Vision-Language-Action (VLA) models have demonstrated significant advantages in robotic manipulation. However, their reliance on vision and language often leads to suboptimal perfo…
EquiBim: Learning Symmetry-Equivariant Policy for Bimanual Manipulation
Zhiyuan Zhang, Aditya Mohan, Seungho Han +3
Robotic imitation learning has achieved impressive success in learning complex manipulation behaviors from demonstrations. However, many existing robot learning methods do not expl…
CONTACT: CONtact-aware TACTile Learning for Robotic Disassembly
Yosuke Saka, Jyun-Chi Hu, Adeesh Desai +6
Robotic disassembly involves contact-rich interactions in which successful manipulation depends not only on geometric alignment but also on force-dependent state transitions. While…
Synthetic Data Augmentation for Enhanced Chicken Carcass Instance Segmentation
Yihong Feng, Chaitanya Pallerla, Xiaomin Lin +5
The poultry industry has been driven by broiler chicken production and has grown into the world's largest animal protein sector. Automated detection of chicken carcasses on process…
ChicGrasp: Imitation-Learning based Customized Dual-Jaw Gripper Control for Delicate, Irregular Bio-products Manipulation
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi +6
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and strict hygiene r…
UniT: Data Efficient Tactile Representation with Generalization to Unseen Objects
Zhengtong Xu, Raghava Uppuluri, Xinwei Zhang +5
UniT is an approach to tactile representation learning, using VQGAN to learn a compact latent space and serve as the tactile representation. It uses tactile images obtained from a…