Robotics
Towards Adaptive Interaction Strategies for Human Companion Robot via Deep Reinforcement Learning
Leveraging reinforcement learning to enable fluid and natural social navigation for home and service robots.
In the field of Human-Robot Interaction (HRI), achieving flexibility in human-accompanying within real-world environments holds great potential for various applications but also poses significant challenges. Traditional methods typically restrict robots to fixed positions relativ...
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ArXiv CS.RO
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ArXiv CS.RO
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Deep reinforcement learning enables robots to move beyond rigid, rule-based movement, allowing for natural and context-aware human companionship. This shift is critical for deploying robots into unpredictable real-world social environments where adaptability defines successful interaction.
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