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
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
VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models
Dehao Huang, Aoxiang Gu, Chengjie Zhang +5 more
2026
Embodied Spatial Affordance: Spatial-Aware Affordance Learning for Embodied Navigation and Manipulation.
Hao X, Tang Y, Zhang L +5 more
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2026