Distributed Robotics Laboratory (DRL)
MIT's Distributed Robotics Laboratory, led by Daniela Rus, pioneers research at the intersection of AI and robotics with focus on physical intelligence. The lab conducts fundamental and applied research in robotic perception, multi-robot coordination, and autonomous systems.
Notable achievements
Leading research in physical intelligence, distributed cyber-physical systems, multi-robot exploration and coordination
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
A hierarchical federated learning approach based on cloud–fog–edge computing architecture for distributed smart manufacturing systems
Wenyou Guo, Ting Qu, Yongheng Zhang +2 more
Robotics and Computer-Integrated Manufacturing · 2026
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
VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models
Dehao Huang, Aoxiang Gu, Chengjie Zhang +5 more
2026
Decentralized LLM-Driven Coordination of Acoustic Robots for Contactless Object Manipulation
Yingying Wang, Narsimlu Kemsaram, Sriram Subramanian
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