Social Navigation
Social navigation focuses on enabling robots to navigate safely and efficiently in environments shared with humans, respecting social norms and avoiding collisions. Current research emphasizes the development of robust perception systems using vision-language models and advanced planning algorithms like reinforcement learning, often incorporating elements of predictive modeling and uncertainty quantification to improve safety and adaptability. This field is crucial for the safe deployment of robots in public spaces and is driving advancements in areas such as human-robot interaction, multi-agent systems, and the development of realistic simulation environments for benchmarking.
63papers
Papers - Page 2
September 16, 2024
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March 30, 2024
CBF-Based Motion Planning for Socially Responsible Robot Navigation Guaranteeing STL Specification
Follow me: an architecture for user identification and social navigation with a mobile robot
CBF-Based STL Motion Planning for Social Navigation in Crowded Environment
VLM-Social-Nav: Socially Aware Robot Navigation through Scoring using Vision-Language Models
March 14, 2024
February 23, 2024
February 22, 2024