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2020
Bülow, H., C. Atanas Mueller, F. Buda, A. Gomez Chavez, and A. Birk, "A Divide and Conquer Method for 3D Registration of Inhomogeneous, Partially Overlapping Scans with Fourier Mellin SOFT (FMS)", IEEE International Conference on Robotics and Automation (ICRA), 2020. PDF icon DnC-FMS-Valentin3D-ICRA2020.pdf (5.19 MB)
2019
Chavez, A. Gomez, Q. Xu, C. Atanas Mueller, S. Schwertfeger, and A. Birk, "Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
Chavez, A. Gomez, A. Ranieri, D. Chiarella, E. Zereik, A. Babic, and A. Birk, "CADDY Underwater Stereo-Vision Dataset for Human-Robot Interaction (HRI) in the Context of Diver Activities", Journal of Marine Science and Engineering (JMSE), spec.iss. Underwater Imaging, vol. 7, no. 1: MDPI, 2019.
Chavez, A. Gomez, Q. Xu, C. A. Mueller, S. Schwertfeger, and A. Birk, "Towards Accurate Deep-Sea Localization in Structured Environments based on Perception Quality Cues", Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS): International Foundation for Autonomous Agents and Multiagent Systems, pp. 1988-1990, 2019.
Chavez, A. Gomez, C. A. Mueller, T. Doernbach, and A. Birk, "Underwater Navigation using Visual Markers in the Context of Intervention Missions", International Journal of Advanced Robotic Systems (IJARS): Sage, 2019.
2018
Doernbach, T., A. Gomez Chavez, C. A. Mueller, and A. Birk, "High-Fidelity Deep-Sea Perception Using Simulation in the Loop", IFAC Conference on Control Applications in Marine Systems (CAMS), 2018.
Mueller, C. Atanas, T. Doernbach, A. Gomez Chavez, D. Köhntopp, and A. Birk, "Robust Continuous System Integration for Critical Deep-Sea Robot Operations Using Knowledge-Enabled Simulation in the Loop", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): IEEE, 2018.
2017
Chavez, A. Gomez, C. A. Mueller, A. Birk, A. Babic, and N. Miskovic, "Stereo-vision based diver pose estimation using LSTM recurrent neural networks for AUV navigation guidance", IEEE Oceans: IEEE press, 2017.