🔬 University#268 Stanford, United States
Robotics and Embodied Artificial Intelligence Lab (REAL)
REAL Lab at Stanford develops algorithms enabling intelligent systems to learn from physical world interactions. The lab focuses on embodied artificial intelligence and robot learning from experience.
embodied AIlearningmanipulationperceptionlegged locomotion
Notable achievements
Research in learning from interaction, robotic manipulation, and embodied AI
Notable work
Embodied AI algorithmsrobot learning from physical interaction
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
MANIPULATION
📊 0 cites
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
MANIPULATION
Open access📊 0 cites
What Are We Actually Benchmarking in Robot Manipulation?
Tianchong Jiang, Xiangshan Tan, Samuel Wheeler +3 more
2026
MANIPULATION
Open access📊 0 cites
DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
Junyi Cao, Yian Wang, Ziyan Xiong +3 more
2026
PERCEPTION
Open access📊 0 cites
DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation
Jusuk Lee, Seungjae Lee, Jonghun Shin +6 more
2026
MANIPULATION
Open access📊 0 cites
VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models
Dehao Huang, Aoxiang Gu, Chengjie Zhang +5 more
2026
PERCEPTION
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