34 citations · 78 across the 12 of their papers we have counts for
4 papers · 1 filter
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios
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…
Scenario-Based Trajectory Optimization in Uncertain Dynamic Environments
O. de Groot, B. Brito, L. Ferranti +2
We present an optimization-based method to plan the motion of an autonomous robot under the uncertainties associated with dynamic obstacles, such as humans. Our method bounds the m…
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians
Bruno Brito, Michael Everett, Jonathan P. How +1
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 envir…
Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments
Hai Zhu, Francisco Martinez Claramunt, Bruno Brito +1
This paper presents a data-driven decentralized trajectory optimization approach for multi-robot motion planning in dynamic environments. When navigating in a shared space, each ro…