The current state and future outlook of rescue robotics

Author:

Delmerico Jeffrey1ORCID,Mintchev Stefano2,Giusti Alessandro3,Gromov Boris3,Melo Kamilo4,Horvat Tomislav4,Cadena Cesar5,Hutter Marco6,Ijspeert Auke4,Floreano Dario2,Gambardella Luca M.3,Siegwart Roland5,Scaramuzza Davide1

Affiliation:

1. Robotics and Perception Group, Department of Informatics and NeuroinformaticsUniversity of Zurich and ETH, Zurich Zürich Switzerland

2. Laboratory of Intelligent SystemsSwiss Federal Institute of Technology Lausanne Switzerland

3. Dalle Molle Institute for Artificial Intelligence (IDSIA), USI‐SUPSI Manno Switzerland

4. Biorobotics LaboratorySwiss Federal Institute of Technology Lausanne Switzerland

5. Autonomous Systems LabSwiss Federal Institute of Technology Zürich Switzerland

6. Robotic Systems LabSwiss Federal Institute of Technology Zürich Switzerland

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Reference180 articles.

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2. Amano H.(2018b).Expectation to robotics: How fire department using robotic in japan.

3. Amano H.(June 18 2018a). Personal communication.

4. Andersson O. Heintz F. &Doherty P.(2015). Model‐based reinforcement learning in continuous environments using real‐time constrained optimization .Proceedings of the Twenty‐Ninth AAAI Conference on Artificial Intelligence AAAI’15 AAAI Press 2497‐2503.

5. Andersson O. Wzorek M. Rudol P. &Doherty P.(2016). Model‐predictive control with stochastic collision avoidance using bayesian policy optimization.2016 IEEE International Conference on Robotics and Automation (ICRA) 4597‐4604.

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