Learning robust perceptive locomotion for quadrupedal robots in the wild

R. C. Coulter, Implementation of the pure pursuit path tracking algorithm, Tech. rep

1992

Earlier work this paper cites.

S. Hochreiter, J. Schmidhuber, Long short-term memory, Neural Computation

1997

Earlier work this paper cites.

C. Ye, J. Borenstein, A new terrain mapping method for mobile robots obstacle negotiation, Unmanned ground vehicle technology V

2003

Earlier work this paper cites.

M. Raibert, K. Blankespoor, G. Nelson, R. Playter, Bigdog, the rough-terrain quadruped robot, IFAC Proceedings Volumes

2008

Earlier work this paper cites.

J. Z. Kolter, Y. Kim, A. Y. Ng, Stereo vision and terrain modeling for quadruped robots, 2009 IEEE International Conference on Robotics and Automation

2009

Earlier work this paper cites.

D. Belter, P. Skrzypczyński, Rough terrain mapping and classification for foothold selection in a walking robot, 2010 IEEE Safety Security and Rescue Robotics

2010

Earlier work this paper cites.

M. Zucker, J. A. Bagnell, C. G. Atkeson, J. Kuffner, An optimization approach to rough terrain locomotion, 2010 IEEE International Conference on Robotics and Automation

2010

Earlier work this paper cites.

A. Lagae, S. Lefebvre, R. Cook, T. DeRose, G. Drettakis, D. S. Ebert, J. P. Lewis, K. Perlin, M. Zwicker, A survey of procedural noise functions, Computer Graphics Forum

2010

Earlier work this paper cites.

P. D. Neuhaus, J. E. Pratt, M. J. Johnson, Comprehensive summary of the institute for human and machine cognition’s experience with LittleDog, The International Journal of Robotics Research

2011

Earlier work this paper cites.

S. Ross, G. Gordon, D. Bagnell, A reduction of imitation learning and structured prediction to no-regret online learning, Proceedings of the fourteenth international conference on artificial intelligence and statistics

2011

Earlier work this paper cites.

I. Havoutis, J. Ortiz, S. Bazeille, V. Barasuol, C. Semini, D. G. Caldwell, Onboard perception-based trotting and crawling with the hydraulic quadruped robot (HyQ), 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems

2013

Earlier work this paper cites.

M. Bloesch, M. Hutter, M. A. Hoepflinger, S. Leutenegger, C. Gehring, C. D. Remy, R. Siegwart, State estimation for legged robots-consistent fusion of leg kinematics and imu, Robotics

2013

Earlier work this paper cites.

V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, M. Riedmiller, Playing atari with deep reinforcement learning, Advances in Neural Information Processing Systems, Deep Learning Workshop

2013

Earlier work this paper cites.

A. L. Maas, A. Y. Hannun, A. Y. Ng, Rectifier nonlinearities improve neural network acoustic models, Proc. icml

2013

Earlier work this paper cites.

Robot-centric elevation mapping with uncertainty estimates

P. Fankhauser, M. Bloesch, C. Gehring, M. Hutter, R. Siegwart · 2014

Earlier work this paper cites.

K. Cho, B. Van Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, Y. Bengio, Learning phrase representations using rnn encoder-decoder for statistical machine translation, Conference on Empirical Methods in Natural Language Processing (EMNLP)

2014

Earlier work this paper cites.

P. Fankhauser, M. Bloesch, D. Rodriguez, R. Kaestner, M. Hutter, R. Siegwart, Kinect v2 for mobile robot navigation: Evaluation and modeling, 2015 International Conference on Advanced Robotics (ICAR)

2015

Earlier work this paper cites.

D. P. Kingma, J. Ba, Adam: A method for stochastic optimization, ICLR

2015

Earlier work this paper cites.

D. Belter, P. Łabęcki, P. Skrzypczyński, Adaptive motion planning for autonomous rough terrain traversal with a walking robot, Journal of Field Robotics

2016

Earlier work this paper cites.

X. B. Peng, G. Berseth, M. Van de Panne, Terrain-adaptive locomotion skills using deep reinforcement learning, ACM Transactions on Graphics (TOG)

2016

Earlier work this paper cites.

C. Mastalli, M. Focchi, I. Havoutis, A. Radulescu, S. Calinon, J. Buchli, D. G. Caldwell, C. Semini, Trajectory and foothold optimization using low-dimensional models for rough terrain locomotion, 2017 IEEE International Conference on Robotics and Automation (ICRA)

2017

Earlier work this paper cites.

X. B. Peng, G. Berseth, K. Yin, M. Van De Panne, Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning, ACM Transactions on Graphics (TOG)

2017

Earlier work this paper cites.

P. Zhu, X. Li, P. Poupart, G. Miao, On improving deep reinforcement learning for pomdps, arXiv preprint arXiv:1704.07978

Original

2017

Earlier work this paper cites.

J. Schulman, F. Wolski, P. Dhariwal, A. Radford, O. Klimov, Proximal policy optimization algorithms, arXiv preprint arXiv:1707.06347

Original

2017

Earlier work this paper cites.

J. Arevalo, T. Solorio, M. Montes-y Gómez, F. A. González, Gated multimodal units for information fusion, ICLR workshop

2017

Earlier work this paper cites.

J. S. Matthis, J. L. Yates, M. M. Hayhoe, Gaze and the control of foot placement when walking in natural terrain, Current Biology

2018

Cited alongside, same era.

P. Fankhauser, M. Bloesch, M. Hutter, Probabilistic terrain mapping for mobile robots with uncertain localization, IEEE Robotics and Automation Letters

2018

Cited alongside, same era.

P. Fankhauser, M. Bjelonic, C. D. Bellicoso, T. Miki, M. Hutter, Robust rough-terrain locomotion with a quadrupedal robot, 2018 IEEE International Conference on Robotics and Automation (ICRA)

2018

Cited alongside, same era.

X. B. Peng, P. Abbeel, S. Levine, M. van de Panne, Deepmimic: Example-guided deep reinforcement learning of physics-based character skills, ACM Trans. Graph

2018

Cited alongside, same era.

J. Tan, T. Zhang, E. Coumans, A. Iscen, Y. Bai, D. Hafner, S. Bohez, V. Vanhoucke, Sim-to-real: Learning agile locomotion for quadruped robots, Robotics: Science and Systems

S. Gangapurwala, M. Geisert, R. Orsolino, M. Fallon, I. Havoutis, RLOC: Terrain-aware legged locomotion using reinforcement learning and optimal control, arXiv preprint arXiv:2012.03094

Original

2020

Later among the works it cites.

Heuristic planning for rough terrain locomotion in presence of external disturbances and variable perception quality

M. Focchi, R. Orsolino, M. Camurri, V. Barasuol, C. Mastalli, D. G. Caldwell, C. Semini · 2020

Later among the works it cites.

D. Chen, B. Zhou, V. Koltun, P. Krähenbühl, Learning by cheating, Conference on Robot Learning

2020

Later among the works it cites.

T. Anzai, K. Takahashi, Deep gated multi-modal learning: In-hand object pose changes estimation using tactile and image data, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

2020

Later among the works it cites.

H.-W. Park, P. M. Wensing, S. Kim, Jumping over obstacles with MIT Cheetah 2, Robotics and Autonomous Systems