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.
Notable achievements
Research in learning from interaction, robotic manipulation, and embodied AI
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
Towards embodied AI in manufacturing: Review, Evaluation, and Future directions
Yexing Zheng, Zhengyang Ling, Qinghua Wang +5 more
Robotics and Computer-Integrated Manufacturing · 2027
Learning passive variable impedance skills for contact-rich tasks via conservative extended dynamical systems
Pingyun Nie, Jiexin Zhang, Tianxiang Jiang +4 more
Robotics and Computer-Integrated Manufacturing · 2027
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
VIA: Visual Interface Agent for Robot Control
Hengyuan Hu, Priya Sundaresan, Jensen Gao +1 more
2026
A Comprehensive Survey and Systematic Real-World Evaluation of Embodied Vision-and-Language Navigation
Liuyi Wang, Kai Sheng, Zongtao He +8 more
2026
An Embodied Simulation Platform, Benchmark, and Data-Efficient Augmentation Framework for Wet-Lab Robotics
Zhe Liu, Huanbo Jin, Zhaohui Du +8 more
2026