Search Results for author: Bruno Brito

Found 4 papers, 1 papers with code

Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios

1 code implementation9 Jul 2021 Bruno Brito, Achin Agarwal, Javier Alonso-Mora

Autonomous navigation in dense traffic scenarios remains challenging for autonomous vehicles (AVs) because the intentions of other drivers are not directly observable and AVs have to deal with a wide range of driving behaviors.

Autonomous Navigation Motion Planning +2

Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians

no code implementations25 Feb 2021 Bruno Brito, Michael Everett, Jonathan P. How, Javier Alonso-Mora

Robotic navigation in environments shared with other robots or humans remains challenging because the intentions of the surrounding agents are not directly observable and the environment conditions are continuously changing.

Collision Avoidance Model Predictive Control +1

Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments

no code implementations10 Feb 2021 Hai Zhu, Francisco Martinez Claramunt, Bruno Brito, Javier Alonso-Mora

In this paper, we introduce a novel trajectory prediction model based on recurrent neural networks (RNN) that can learn multi-robot motion behaviors from demonstrated trajectories generated using a centralized sequential planner.

Collision Avoidance Model Predictive Control +2

With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance

no code implementations25 Sep 2020 Álvaro Serra-Gómez, Bruno Brito, Hai Zhu, Jen Jen Chung, Javier Alonso-Mora

Decentralized multi-robot systems typically perform coordinated motion planning by constantly broadcasting their intentions as a means to cope with the lack of a central system coordinating the efforts of all robots.

Collision Avoidance Motion Planning

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