200 citations · 353 across the 27 of their papers we have counts for
6 papers · 1 filter
Integrated Task Assignment and Path Planning for Capacitated Multi-Agent Pickup and Delivery
Zhe Chen, Javier Alonso-Mora, Xiaoshan Bai +2
Multi-agent Pickup and Delivery (MAPD) is a challenging industrial problem where a team of robots is tasked with transporting a set of tasks, each from an initial location and each…
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…
Online Informative Path Planning for Active Information Gathering of a 3D Surface
Hai Zhu, Jen Jen Chung, Nicholas R. J. Lawrance +2
This paper presents an online informative path planning approach for active information gathering on three-dimensional surfaces using aerial robots. Most existing works on surface…
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…