Reliable Autonomous Systems Lab (REALM) @MIT. We design, analyze and verify safe control systems.

Cambridge, Massachusetts
Joined September 2022
Reliable Autonomous Systems Lab at MIT (REALM) retweeted
An @MITAeroAstro team developed a machine-learning technique that can autonomously fly a plane through a difficult “stabilize-avoid” scenario while avoiding obstacles. Read more at MIT News news.mit.edu/2023/safe-and-r…
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Reliable Autonomous Systems Lab at MIT (REALM) retweeted
Great @l4dc_conf talk by @mit_REALM PhD student Songyuan Zhang
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Reliable Autonomous Systems Lab at MIT (REALM) retweeted
Replying to @mit_REALM
@mit_REALM dinner after @l4dc_conf day 1
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REALM has two strong works being presented at @l4dc_conf this year. @YueMengTHU 's “Hybrid Systems Neural Control with Region-of-Attraction Planner” and Songyuan Zhang’s “Compositional Neural Certificates for Networked Dynamical Systems” will be presented! To learn more... (1/2)
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Come to the poster sessions and oral presentations! Yue’s work will appear in Poster Session 1 while Songyuan’s will appear in Poster Session 2. Songyuan will provide a deeper introduction to his work on Friday at the “Oral Presentations 4” time slot. See you there! (2/2)
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A huge number robotics problems can be modeled as hybrid dynamical systems, and these are known to be difficult to define controllers for. In @YueMengTHU ‘s new work (accepted to L4DC), we have developed a method for designing controllers for this important class of systems!
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Please attend @l4dc_conf, if you're interested in hearing from Yue first-hand!
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An exciting question that came from a vigorous discussion at REALM last week: What differentiable simulators exist that can model soft robotic systems interacting withe the world? (1/3) #AcademicChatter #RoboticsChatter #DifferentiableSimulation
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Context: REALM has established its passion for differentiable simulation in several different results (see our work on Architect) and we were having a spirited discussion last week about how better sensor placement/design might be possible if we had a good (2/3)
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