CrowdNav
A deep reinforcement learning framework for crowd-aware robot navigation using attention mechanisms to model human-robot and human-human interactions.
What is CrowdNav?
CrowdNav is a deep reinforcement learning framework for crowd-aware robot navigation that models both human-robot and human-human interactions. It enables robots to navigate efficiently and socially-compliantly in dense crowds by using attention mechanisms to anticipate human dynamics. The framework addresses the limitation of existing methods whose cooperation ability deteriorates as crowd density increases.
Robotics researchers and developers working on autonomous navigation in human-populated environments, particularly those interested in social robot navigation and deep reinforcement learning applications.
It provides a more comprehensive approach to crowd navigation by explicitly modeling crowd-robot interactions rather than just pairwise human-robot interactions, leading to better anticipation of human dynamics and more efficient navigation in dense crowds compared to state-of-the-art methods.
Overview
[ICRA] Crowd-aware Robot Navigation
Use Cases
Best For
- Research on social robot navigation in crowded environments
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