3 papers
cs.RO2026
MAVP: Map-Aware Visuomotor Policies for Mobile Manipulation
Jinhe Tang, Ruixiao Dai, Weiming Zhi
Successful mobile manipulation requires coordinated base and arm motion while maintaining accurate spatial positioning. However, demonstration-trained policies can struggle to real…
cs.RO2026
NestDex: Nested Policy Learning with Copilot Assisted Teleoperation for Dexterous Manipulation
James Zhao, Jinhe Tang, Mingyuan Ba +1
Dexterous manipulation promises substantially richer robot interaction with the physical world, but learning these behaviours remains constrained by the difficulty of collecting co…
cs.RO2026
AutoIntervene: Calibrated Intervention for Action-Chunking Imitation Learning Policies
Jinhe Tang, Weiming Zhi
Action-chunking visuomotor policies learn from demonstrations and improve temporal consistency by predicting short action sequences rather than single-step commands. Yet perception…