| SegMap: Segment-based mapping and localization using data-driven descriptors R Dube, A Cramariuc, D Dugas, H Sommer, M Dymczyk, J Nieto, ... The International Journal of Robotics Research 39 (2-3), 339-355, 2020 | 170 | 2020 |
| Quadrupedal locomotion using hierarchical operational space control M Hutter, H Sommer, C Gehring, M Hoepflinger, M Bloesch, R Siegwart The International Journal of Robotics Research 33 (8), 1047-1062, 2014 | 163 | 2014 |
| An online multi-robot SLAM system for 3D LiDARs R Dubé, A Gawel, H Sommer, J Nieto, R Siegwart, C Cadena 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 140 | 2017 |
| A data-driven model for interaction-aware pedestrian motion prediction in object cluttered environments M Pfeiffer, G Paolo, H Sommer, J Nieto, R Siegwart, C Cadena 2018 IEEE International Conference on Robotics and Automation (ICRA), 5921-5928, 2018 | 126 | 2018 |
| Predicting actions to act predictably: Cooperative partial motion planning with maximum entropy models M Pfeiffer, U Schwesinger, H Sommer, E Galceran, R Siegwart 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 119 | 2016 |
| Incremental-segment-based localization in 3-d point clouds R Dubé, MG Gollub, H Sommer, I Gilitschenski, R Siegwart, C Cadena, ... IEEE Robotics and Automation Letters 3 (3), 1832-1839, 2018 | 77 | 2018 |
| A primer on the differential calculus of 3d orientations M Bloesch, H Sommer, T Laidlow, M Burri, G Nuetzi, P Fankhauser, ... arXiv preprint arXiv:1606.05285, 2016 | 57 | 2016 |
| The two-state implicit filter recursive estimation for mobile robots M Bloesch, M Burri, H Sommer, R Siegwart, M Hutter IEEE Robotics and Automation Letters 3 (1), 573-580, 2017 | 53 | 2017 |
| Online self-calibration for robotic systems J Maye, H Sommer, G Agamennoni, R Siegwart, P Furgale The International Journal of Robotics Research 35 (4), 357-380, 2016 | 50 | 2016 |
| Evaluation of combined time-offset estimation and hand-eye calibration on robotic datasets F Furrer, M Fehr, T Novkovic, H Sommer, I Gilitschenski, R Siegwart Field and Service Robotics: Results of the 11th International Conference …, 2018 | 43 | 2018 |
| Fusion of optical flow and inertial measurements for robust egomotion estimation M Bloesch, S Omari, P Fankhauser, H Sommer, C Gehring, J Hwangbo, ... 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 34 | 2014 |
| Why and how to avoid the flipped quaternion multiplication H Sommer, I Gilitschenski, M Bloesch, S Weiss, R Siegwart, J Nieto Aerospace 5 (3), 72, 2018 | 28 | 2018 |
| Non-uniform sampling strategies for continuous correction based trajectory estimation R Dubé, H Sommer, A Gawel, M Bosse, R Siegwart 2016 IEEE International Conference on Robotics and Automation (ICRA), 4792-4798, 2016 | 28 | 2016 |
| Continuous-time estimation of attitude using b-splines on lie groups H Sommer, JR Forbes, R Siegwart, P Furgale Journal of Guidance, Control, and Dynamics 39 (2), 242-261, 2016 | 25 | 2016 |
| Automatic differentiation on differentiable manifolds as a tool for robotics H Sommer, C Pradalier, P Furgale Robotics Research: The 16th International Symposium ISRR, 505-520, 2016 | 21 | 2016 |
| ROCK*—Efficient black-box optimization for policy learning J Hwangbo, C Gehring, H Sommer, R Siegwart, J Buchli 2014 IEEE-RAS International Conference on Humanoid Robots, 535-540, 2014 | 18 | 2014 |
| Multiple hypothesis semantic mapping for robust data association L Bernreiter, A Gawel, H Sommer, J Nieto, R Siegwart, CC Lerma IEEE Robotics and Automation Letters 4 (4), 3255-3262, 2019 | 17 | 2019 |
| A low-cost system for high-rate, high-accuracy temporal calibration for LIDARs and cameras H Sommer, R Khanna, I Gilitschenski, Z Taylor, R Siegwart, J Nieto 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 16 | 2017 |
| Learning 3D segment descriptors for place recognition A Cramariuc, R Dubé, H Sommer, R Siegwart, I Gilitschenski arXiv preprint arXiv:1804.09270, 2018 | 12 | 2018 |
| A partitioned approach for efficient graph–based place recognition MG Gollub, R Dubé, H Sommer, I Gilitschenski, R Siegwart Proc. IEEE/RSJ Int. Conf. Intell. Robots Syst./Workshop Planning, Perception …, 2017 | 7 | 2017 |
