34 citations · 50 across the 32 of their papers we have counts for
5 papers · 1 filter
Active Classification of Moving Targets with Learned Control Policies
Álvaro Serra-Gómez, Eduardo Montijano, Wendelin Böhmer +1
In this paper, we consider the problem where a drone has to collect semantic information to classify multiple moving targets. In particular, we address the challenge of computing c…
Wi-Closure: Reliable and Efficient Search of Inter-robot Loop Closures Using Wireless Sensing
Weiying Wang, Anne Kemmeren, Daniel Son +2
In this paper we propose a novel algorithm, Wi-Closure, to improve computational efficiency and robustness of loop closure detection in multi-robot SLAM. Our approach decreases the…
Learning to Play Trajectory Games Against Opponents with Unknown Objectives
Xinjie Liu, Lasse Peters, Javier Alonso-Mora
Many autonomous agents, such as intelligent vehicles, are inherently required to interact with one another. Game theory provides a natural mathematical tool for robot motion planni…
Learning Mixed Strategies in Trajectory Games
Lasse Peters, David Fridovich-Keil, Laura Ferranti +3
In multi-agent settings, game theory is a natural framework for describing the strategic interactions of agents whose objectives depend upon one another's behavior. Trajectory game…
Where to Look Next: Learning Viewpoint Recommendations for Informative Trajectory Planning
Max Lodel, Bruno Brito, Álvaro Serra-Gómez +3
Search missions require motion planning and navigation methods for information gathering that continuously replan based on new observations of the robot's surroundings. Current met…