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DTSTART;TZID=America/New_York:20261015T190000
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UID:11239-1792090800-1792098000@www.massrobotics.org
SUMMARY:Boston Robot Hackers: Reinforcement Learning for Multimodal Locomotion
DESCRIPTION:Arjun works on reinforcement learning for robot behavior at Boston Dynamics. He did his MS in Robotics at Northeastern’s Silicon Synapse Lab\, teaching the Husky-Beta legged-aerial robot to cross rough terrain with hierarchical RL — learning not just how to walk\, but which mode of locomotion to use at all.
URL:https://www.massrobotics.org/event/boston-robot-hackers-reinforcement-learning-for-multimodal-locomotion/
LOCATION:Artisans Asylum
CATEGORIES:Public
ATTACH;FMTTYPE=image/png:https://www.massrobotics.org/wp-content/uploads/2026/08/boston-dynamics-spot.png
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DTSTART;TZID=America/New_York:20261112T190000
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UID:11242-1794510000-1794517200@www.massrobotics.org
SUMMARY:Boston Robot Hackers: Robot Scene Understanding for Extreme Environments: from subterranean to heavy equipment
DESCRIPTION:Yun spent a decade at MIT earning a Bachelor’s\, Master’s\, and PhD\, working in the SPARK Lab under Professor Luca Carlone. The research centered on robot perception — compressing the world into representations a machine can act on. Yun is now co-founding a stealth startup bringing autonomy to the large machines that run society’s infrastructure.
URL:https://www.massrobotics.org/event/boston-robot-hackers-robot-scene-understanding-for-extreme-environments-from-subterranean-to-heavy-equipment/
LOCATION:Artisans Asylum
CATEGORIES:Public
ATTACH;FMTTYPE=image/png:https://www.massrobotics.org/wp-content/uploads/2026/08/heavy-equipment.png
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