Human-autonomoy interaction
Human-autonomoy interaction
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Autonomous systems are expected to execute increasingly complex tasks in dynamic environments, often in close proximity to or in cooperation with humans, within the context of mobility and cooperative controls. However, achieving effective perception, scene understanding, and safe decision-making while interacting with humans is highly challenging due to computational and processing constraints, model uncertainties, and safety concerns. The goal of this fundamental research at the NODE Lab is to enable reliable operation of autonomous systems in complex scenarios, enhance their resilience to disturbances in dynamic environments, and identify human objectives for cooperative tasks.
Related publications
Related publications
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2020 American Control Conference (ACC)
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Jiacheng Weng, Ehsan Hashemi, Arash Arami
Natural walking with musculoskeletal models using deep reinforcement learning
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IEEE EMBC 2020
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