| Robust visual inertial odometry using a direct EKF-based approach M Bloesch, S Omari, M Hutter, R Siegwart 2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015 | 821 | 2015 |
| Anymal-a highly mobile and dynamic quadrupedal robot M Hutter, C Gehring, D Jud, A Lauber, CD Bellicoso, V Tsounis, ... 2016 IEEE/RSJ international conference on intelligent robots and systems …, 2016 | 680 | 2016 |
| Vision based mav navigation in unknown and unstructured environments M Blosch, S Weiss, D Scaramuzza, R Siegwart Robotics and Automation (ICRA), 2010 IEEE International Conference on, 21-28, 2010 | 543 | 2010 |
| Iterated extended Kalman filter based visual-inertial odometry using direct photometric feedback M Bloesch, M Burri, S Omari, M Hutter, R Siegwart The International Journal of Robotics Research 36 (10), 1053-1072, 2017 | 407 | 2017 |
| StarlETH: A compliant quadrupedal robot for fast, efficient, and versatile locomotion M Hutter, C Gehring, M Bloesch, MA Hoepflinger, CD Remy, R Siegwart Adaptive Mobile Robotics, 483-490, 2012 | 348 | 2012 |
| Kinect v2 for mobile robot navigation: Evaluation and modeling P Fankhauser, M Bloesch, D Rodriguez, R Kaestner, M Hutter, R Siegwart 2015 international conference on advanced robotics (ICAR), 388-394, 2015 | 338 | 2015 |
| CodeSLAM—learning a compact, optimisable representation for dense visual SLAM M Bloesch, J Czarnowski, R Clark, S Leutenegger, AJ Davison Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 310 | 2018 |
| State estimation for legged robots-consistent fusion of leg kinematics and imu M Bloesch, M Hutter, MH Hoepflinger, S Leutenegger, C Gehring, ... RSS Robotics Science and Systems, 2012 | 298 | 2012 |
| Fusion++: Volumetric object-level slam J McCormac, R Clark, M Bloesch, A Davison, S Leutenegger 2018 international conference on 3D vision (3DV), 32-41, 2018 | 250 | 2018 |
| Anymal-toward legged robots for harsh environments M Hutter, C Gehring, A Lauber, F Gunther, CD Bellicoso, V Tsounis, ... Advanced Robotics 31 (17), 918-931, 2017 | 238 | 2017 |
| Control of Dynamic Gaits for a Quadrupedal Robot C Gehring, S Coros, M Hutter, M Bloesch, MA Hoepflinger, R Siegwart IEEE International Conference on Robotics and Automation (ICRA), 2013 | 188 | 2013 |
| Probabilistic terrain mapping for mobile robots with uncertain localization P Fankhauser, M Bloesch, M Hutter IEEE Robotics and Automation Letters 3 (4), 3019-3026, 2018 | 168 | 2018 |
| Robot-centric elevation mapping with uncertainty estimates P Fankhauser, M Bloesch, C Gehring, M Hutter, R Siegwart 17th International Conference on Climbing and Walking Robots, 2014 | 158 | 2014 |
| Mid-fusion: Octree-based object-level multi-instance dynamic slam B Xu, W Li, D Tzoumanikas, M Bloesch, A Davison, S Leutenegger 2019 International Conference on Robotics and Automation (ICRA), 5231-5237, 2019 | 154 | 2019 |
| 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 | 152 | 2014 |
| Toward combining speed, efficiency, versatility, and robustness in an autonomous quadruped M Hutter, C Gehring, MA Höpflinger, M Blösch, R Siegwart IEEE Transactions on Robotics 30 (6), 1427-1440, 2014 | 138 | 2014 |
| gvnn: Neural network library for geometric computer vision A Handa, M Bloesch, V Pătrăucean, S Stent, J McCormac, A Davison Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 121 | 2016 |
| Practice makes perfect: An optimization-based approach to controlling agile motions for a quadruped robot C Gehring, S Coros, M Hutter, CD Bellicoso, H Heijnen, R Diethelm, ... IEEE Robotics & Automation Magazine 23 (1), 34-43, 2016 | 118 | 2016 |
| State estimation for legged robots on unstable and slippery terrain M Bloesch, C Gehring, P Fankhauser, M Hutter, MA Hoepflinger, ... 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013 | 106 | 2013 |
| Task-embedded control networks for few-shot imitation learning S James, M Bloesch, AJ Davison Conference on robot learning, 783-795, 2018 | 104 | 2018 |
Marco HutterProfessor of Robotics, ETH ZurichGeverifieerd e-mailadres voor ethz.ch
