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
What Are We Actually Benchmarking in Robot Manipulation?
Tianchong Jiang, Xiangshan Tan, Samuel Wheeler +3 more
2026
DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
Junyi Cao, Yian Wang, Ziyan Xiong +3 more
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
Cortical representation of motion sequence processing in younger and older adults: an fMRI study.
Yeh SL, Li SH, Lee HH +4 more
Scientific reports · 2026