Assistive Robotics and Manipulation Lab
The ARMlab at Stanford develops intelligent robotic systems that anticipate and act on human needs through assistive robotics. Research covers robotic assistants, connected devices, and intelligent wearables using collaborative robotics and machine learning.
Notable achievements
Development of assistive robotic systems, intelligent wearables, human-robot interaction frameworks
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
A hierarchical approach to imitation learning for manipulation tasks requiring time varying forces
Rishabh Shukla, Adithya Santhosh, Shaili Gandhi +2 more
Robotics and Computer-Integrated Manufacturing · 2026
DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation
Jusuk Lee, Seungjae Lee, Jonghun Shin +6 more
2026
VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models
Dehao Huang, Aoxiang Gu, Chengjie Zhang +5 more
2026
Technical challenges in autonomous robotic ultrasound examinations: perception, planning, and control.
Guo D, Zhang Y, Huang X +1 more
Journal of robotic surgery · 2026
How VLAs Fail Differently: Black-Box Action Monitoring Reveals Architecture-Specific Failure Signatures
Krishnam Gupta
2026
What Frozen VLAs Already Know About Success: A Probing Study of Value-Like Structure in Foundation Robot Policies
Jiachen Zhang, Junnan Nie, Junyi Lao +4 more
2026