3 papers
cs.RO2026
Imperfection for Precision: Upcycling Imperfect Data for High-Precision Robotic Manipulation
Hao Wei, Yang Liu, Chao Tang +7
Training vision-language-action (VLA) models for high-precision manipulation typically requires task-specific, high-quality data (e.g., teleoperation), which is slow and expensive…
cs.RO2026
PSR: Predictive Sensorimotor Representation Learning for Contact-Rich Manipulation
Shengbao Li, Peng Xu, Chao Tang +8
Contact-rich manipulation requires policies to generate precise actions by reasoning over contact forces, robot configurations, and interaction histories beyond visual observations…
cs.RO2026
InternVLA-A1: Unifying Understanding, Generation and Action for Robotic Manipulation
Junhao Cai, Zetao Cai, Jiafei Cao +39
Prevalent Vision-Language-Action (VLA) models are typically built upon Multimodal Large Language Models (MLLMs) and demonstrate exceptional proficiency in semantic understanding, b…