Active Classification of Moving Targets With Learned Control Policies

Author:

Serra-Gómez Álvaro1ORCID,Montijano Eduardo2ORCID,Böhmer Wendelin3,Alonso-Mora Javier1ORCID

Affiliation:

1. Department of Cognitive Robotics, Delft University of Technology, Delft, The Netherlands

2. Departamento de Informática e Ingeniería de Sistemas and I3A, Universidad de Zaragoza, Zaragoza, Spain

3. Department of Software Technology, Delft University of Technology, Delft, The Netherlands

Funder

Office of Naval Research Global

European Regional Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference39 articles.

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3. Geometric deep learning: Grids, groups, graphs, geodesics, and gauges;bronstein,2021

4. Domain randomization for transferring deep neural networks from simulation to the real world

5. Graph Neural Networks for Decentralized Multi-Robot Path Planning

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