Sep 22, 2016 · We present a novel end-to-end framework to generate reactive collision avoidance policy for efficient distributed multi-agent navigation.

This work presents a novel end-to-end framework to generate reactive collision avoidance policy for efficient distributed multiagent navigation by ...

Jul 6, 2017 · Abstract—High-speed, low-latency obstacle avoidance that is insensitive to sensor noise is essential for enabling multiple.

We present a novel end-to-end framework to generate reactive collision avoidance policy for efficient distributed multi-agent navigation. Our method formulates ...

High-speed, low-latency obstacle avoidance that is insensitive to sensor noise is essential for enabling multiple decentralized robots to function reliably ...

This paper is our first step toward learning a reactive collision avoidance policy for multi-agent collision avoidance. By carefully designing the data ...

In this article, we present a decentralized sensor-level collision-avoidance policy for multi-robot systems, which shows promising results in practical ...

Duration: 1:37
Posted: Aug 22, 2017

Developing a safe and efficient collision avoidance policy for multiple robots is challenging in the decentralized scenarios where each robot generates its ...

The policy is trained over a large number of robots in rich, complex environments simultaneously using a policy-gradient-based reinforcement-learning algorithm.