Joined September 2022
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Excited to present two works at #CoRL2023, both at Poster Session 6 on Thursday 4:15 pm!
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By predicting a diverse set of possible failures prior to deployment, we can make sure robots of all sizes (from drones to power grids) stay safe.
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Our code is open source!
Code: github.com/MIT-REALM/architeā¦
Arxiv: arxiv.org/abs/2309.08052
Web: mit-realm.github.io/breakingā¦
Video: youtu.be/gzhRVMUwqG0
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Reliable Autonomous Systems Lab at MIT (REALM) retweeted
7 Jul 2023
An @MITAeroAstro team developed a machine-learning technique that can autonomously fly a plane through a difficult āstabilize-avoidā scenario while avoiding obstacles.
Read more at MIT News news.mit.edu/2023/safe-and-rā¦
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Reliable Autonomous Systems Lab at MIT (REALM) retweeted
16 Jun 2023
Great @l4dc_conf talk by @mit_REALM PhD student Songyuan Zhang
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Reliable Autonomous Systems Lab at MIT (REALM) retweeted
16 Jun 2023
@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 āHybrid Systems Neural Control with Region-of-Attraction Plannerā and Songyuan Zhangās āCompositional Neural Certificates for Networked Dynamical Systemsā will be presented! To learn more... (1/2)
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Come to the poster sessions and oral presentations! Yueās work will appear in Poster Session 1 while Songyuanās will appear in Poster Session 2. Songyuan will provide a deeper introduction to his work on Friday at the āOral Presentations 4ā 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 ās new work (accepted to L4DC), we have developed a method for designing controllers for this important class of systems!
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And further information can be found here: mit-realm.github.io/hybrid-cā¦
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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?
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#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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enough soft robot simulator. (3/3)
x.com/mit_REALM/status/15849ā¦
Sound interesting? Then, play around with his implementation of this work which is located in REALMās Architect repository: github.com/MIT-REALM/architeā¦
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