1 code implementation • 9 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.
no code implementations • 25 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.
no code implementations • 10 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.
no code implementations • 25 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.