Folgen
Michael Bloesch
Michael Bloesch
DeepMind
Bestätigte E-Mail-Adresse bei google.com
Titel
Zitiert von
Zitiert von
Jahr
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
10042015
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
8952016
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
5732010
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
4922017
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
4022018
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
3752015
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
3662012
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
3622012
On stochastic optimal control and reinforcement learning by approximate inference
K Rawlik, M Toussaint, S Vijayakumar
3532013
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
3392017
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
3152018
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
2532018
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
2322013
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
2002019
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
2002014
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
1682014
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
1612014
Physics-Based Grasp Planning Through Clutter.
MR Dogar, K Hsiao, MT Ciocarlie, SS Srinivasa
Robotics: Science and systems 8, 57-64, 2012
1482012
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
1382016
Task-embedded control networks for few-shot imitation learning
S James, M Bloesch, AJ Davison
Conference on robot learning, 783-795, 2018
1332018
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20