Learning Strategies For Successful Crowd Navigation

• URL: http://arxiv.org/abs/2404.06561v1
• Date: Tue, 9 Apr 2024 18:25:21 GMT
• Title: Learning Strategies For Successful Crowd Navigation
• Authors: Rajshree Daulatabad, Serena Nath,
• Abstract summary: We focus on crowd navigation, using a neural network to learn specific strategies in-situ with a robot. A CNN takes a top-down image of the scene as input and outputs the next action for the robot to take in terms of speed and angle.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Teaching autonomous mobile robots to successfully navigate human crowds is a challenging task. Not only does it require planning, but it requires maintaining social norms which may differ from one context to another. Here we focus on crowd navigation, using a neural network to learn specific strategies in-situ with a robot. This allows us to take into account human behavior and reactions toward a real robot as well as learn strategies that are specific to various scenarios in that context. A CNN takes a top-down image of the scene as input and outputs the next action for the robot to take in terms of speed and angle. Here we present the method, experimental results, and quantitatively evaluate our approach.

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