Rather than programming rigid, single-task machines, the CSAIL researchers sharing this collaborative space are developing robots that learn from demonstration and simulation, working toward reliable, generalizable AI that can operate safely in the real world. Explore how the Living Lab team is advancing robot skills across different platforms by using human-centered spaces and simulation to close the gap between research and real-world deployment.
The MIT CSAIL Living Lab gives students and researchers hands-on access to commercially available robots like the humanoid Unitree G1 and mobile RB-Y1. By developing new algorithms and real-world skills for these robots, the Living Lab aims to close the distance between robotics research and practical deployment.
At the CSAIL Living Lab, researchers are developing reliable robotic AI through an iterative process of refining sensors and hardware, building machine learning models, and using simulation training before testing on real machines. The ultimate goal is robust, generalizable AI ready for real-world deployment.
Hear from CSAIL Professor Leslie Kaelbling as well as Research Scientist Joseph DelPreto and graduate students Francisco Ramirez Serrano, Jared Boyer, and Wil Norton.
CSAIL's Living Lab is designed to feel like a real human environment because that's where these robots need to work. By bringing humanoid robots into human-centered spaces, researchers can study how robots learn everyday tasks, collaborate with or work alongside people, and navigate a world built around the human form.
Hear from CSAIL Assistant Professor Andreea Bobu as well as graduate students Wil Norton and Jared Boyer.