Robotics
Learning to Plan in Human-Robot Collaboration: Multimodal Reinforcement Learning for Adaptive Interaction
Advancing assistive robotics through multimodal intent recognition and adaptive task planning
Robot assistants for older adults and people with disabilities need to perform collaborative tasks with users effectively. The core component of these systems is an interaction manager whose job is to observe and assess the task and infer the state of the human and their intent f...
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ArXiv CS.RO
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ArXiv CS.RO
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Multimodal reinforcement learning allows robots to move beyond rigid programming by interpreting nuanced human cues and intent in real-time. This capability is critical for creating assistive technologies that can safely and naturally integrate into the complex environments of daily home life.
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