| Rigidfusion: Robot localisation and mapping in environments with large dynamic rigid objects R Long, C Rauch, T Zhang, V Ivan, S Vijayakumar IEEE Robotics and Automation Letters 6 (2), 3703-3710, 2021 | 16 | 2021 |
| ART-based fusion of multi-modal perception for robots E Berghöfer, D Schulze, C Rauch, M Tscherepanow, T Köhler, ... Neurocomputing 107, 11-22, 2013 | 12 | 2013 |
| ROS-PyBullet Interface: A framework for reliable contact simulation and human-robot interaction C Mower, T Stouraitis, J Moura, C Rauch, L Yan, NZ Behabadi, M Gienger, ... Conference on Robot Learning, 1411-1423, 2023 | 11 | 2023 |
| RGB-D SLAM in indoor planar environments with multiple large dynamic objects R Long, C Rauch, T Zhang, V Ivan, TL Lam, S Vijayakumar IEEE robotics and automation letters 7 (3), 8209-8216, 2022 | 8 | 2022 |
| Cognitive AutonomouS CAtheters operating in Dynamic Environments EV Poorten, AT Tibebu, B Yu, C Rauch, F Bernhard, JH Metzen, ... Journal of Medical Robotics Research 1 (03), 2016 | 8 | 2016 |
| Visual Articulated Tracking in the Presence of Occlusions C Rauch, T Hospedales, J Shotton, M Fallon IEEE International Conference on Robotics and Automation (ICRA), 2018 | 7 | 2018 |
| Learning-driven Coarse-to-Fine Articulated Robot Tracking C Rauch, V Ivan, T Hospedales, J Shotton, M Fallon 2019 International Conference on Robotics and Automation (ICRA), 2019 | 6 | 2019 |
| A concept of a reliable three-layer behaviour control system for cooperative autonomous robots C Rauch, T Köhler, M Schröer, E Berghöfer, F Kirchner 35th German Conference on Artificial Intelligence September 24-27, 2012 …, 2012 | 6 | 2012 |
| Sparse-dense motion modelling and tracking for manipulation without prior object models C Rauch, R Long, V Ivan, S Vijayakumar IEEE Robotics and Automation Letters 7 (4), 11394-11401, 2022 | 3 | 2022 |
| Entern -- Environment Modelling and Navigation for Robotic Space-Exploration J Schwendner, J Hidalgo-Carrio, R Domınguez, S Planthaber, YH Yoo, ... Inproceedings ASTRA, 2015 | 3 | 2015 |
| Comparison of sensor-feedback prediction methods for robust behavior execution C Rauch, E Berghöfer, T Köhler, F Kirchner Annual Conference on Artificial Intelligence, 200-211, 2013 | 3 | 2013 |
| Concept of a biologically inspired robust behaviour control system T Köhler, C Rauch, M Schröer, E Berghöfer, F Kirchner International Conference on Intelligent Robotics and Applications, 486-495, 2012 | 3 | 2012 |
| Sensor Fault Detection and Compensation in Lunar/Planetary Robot Missions Using Time-Series Prediction Based on Machine Learning T Köhler, E Berghöfer, C Rauch, F Kirchner Acta Futura: AI in Space Workshop at IJCAI 2013, 9-20, 2014 | | 2014 |
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKVerified email at ed.ac.uk
