Fetching the paper…
Reading the bibliography…
Animals are capable of precise and agile locomotion using vision.
Dynamic walk of a biped
H. Miura and I. Shimoyama · 1984
Earlier work this paper cites.
Hopping in legged systems—modeling and simulation for the two-dimensional one-legged case
M. H. Raibert · 1984
Earlier work this paper cites.
Dynamic programming: deterministic and stochastic models
D. P. Bertsekas · 1987
Earlier work this paper cites.
Terrain mapping for a roving planetary explorer
I.-S. Kweon, M. Hebert, E. Krotkov, and T. Kanade · 1989
Earlier work this paper cites.
Backpropagation through time: what it does and how to do it
P. J. Werbos · 1990
Earlier work this paper cites.
Visual space perception and visually directed action
J. M. Loomis, J. A. Da Silva, N. Fujita, and S. S. Fukusima · 1992
Earlier work this paper cites.
High-resolution terrain map from multiple sensor data
I.-S. Kweon and T. Kanade · 1992
Earlier work this paper cites.
An upper bound on the loss from approximate optimal-value functions
S. P. Singh and R. C. Yee · 1994
Earlier work this paper cites.
Understanding the roles of vision in the control of human locomotion
A. E. Patla · 1997
Earlier work this paper cites.
Positive force feedback in bouncing gaits?
H. Geyer, A. Seyfarth, and R. Blickhan · 2003
Earlier work this paper cites.
The effects of distant and on-line visual information on the control of approach phase and step over an obstacle during locomotion
A. A. Mohagheghi, R. Moraes, and A. E. Patla · 2004
Earlier work this paper cites.
Simbicon: Simple biped locomotion control
K. Yin, K. Loken, and M. Van de Panne · 2007
Earlier work this paper cites.
Real-time localization and elevation mapping within urban search and rescue scenarios
A. Kleiner and C. Dornhege · 2007
Earlier work this paper cites.
Navigation planning for legged robots
J. Chestnutt · 2007
Earlier work this paper cites.
A control architecture for quadruped locomotion over rough terrain
J. Z. Kolter, M. P. Rodgers, and A. Y. Ng · 2008
Earlier work this paper cites.
Stereo camera based navigation of mobile robots on rough terrain
A. Chilian and H. Hirschmüller · 2009
Earlier work this paper cites.
Learning locomotion over rough terrain using terrain templates
M. Kalakrishnan, J. Buchli, P. Pastor, and S. Schaal · 2009
Earlier work this paper cites.
A reduction of imitation learning and structured prediction to no-regret online learning
S. Ross, G. Gordon, and D. Bagnell · 2011
Earlier work this paper cites.
A compliant hybrid zero dynamics controller for stable, efficient and fast bipedal walking on mabel
K. Sreenath, H.-W. Park, I. Poulakakis, and J. W. Grizzle · 2011
Earlier work this paper cites.
How do you learn to walk? thousands of steps and dozens of falls per day
K. E. Adolph, W. G. Cole, M. Komati, J. S. Garciaguirre, D. Badaly, J. M. Lingeman, G. L. Chan, and R. B. Sotsky · 2012
Earlier work this paper cites.
Tail assisted dynamic self righting
A. M. Johnson, T. Libby, E. Chang-Siu, M. Tomizuka, R. J. Full, and D. E. Koditschek · 2012
Earlier work this paper cites.
Estimating terrain elevation maps from sparse and uncertain multi-sensor data
D. Belter, P. Łabcki, and P. Skrzypczyński · 2012
Earlier work this paper cites.
Piecewise linear spine for speed–energy efficiency trade-off in quadruped robots
M. Khoramshahi, H. J. Bidgoly, S. Shafiee, A. Asaei, A. J. Ijspeert, and M. N. Ahmadabadi · 2013
Earlier work this paper cites.
Visual control of foot placement when walking over complex terrain
J. S. Matthis and B. R. Fajen · 2014
Earlier work this paper cites.
Robot-centric elevation mapping with uncertainty estimates
P. Fankhauser, M. Bloesch, C. Gehring, M. Hutter, and R. Siegwart · 2014
Earlier work this paper cites.
Rapidly exponentially stabilizing control lyapunov functions and hybrid zero dynamics
A. D. Ames, K. Galloway, K. Sreenath, and J. W. Grizzle · 2014
Earlier work this paper cites.
On-line and on-board planning and perception for quadrupedal locomotion
C. Mastalli, I. Havoutis, A. W. Winkler, D. G. Caldwell, and C. Semini · 2015
Earlier work this paper cites.
Implementation of trot-to-gallop transition and subsequent gallop on the mit cheetah i
D. J. Hyun, J. Lee, S. Park, and S. Kim · 2016
Earlier work this paper cites.
Anymal-a highly mobile and dynamic quadrupedal robot
M. Hutter, C. Gehring, D. Jud, A. Lauber, C. D. Bellicoso, V. Tsounis, J. Hwangbo, K. Bodie, P. Fankhauser, M. Bloesch, et al · 2016
Cited alongside, same era.
Continuous control with deep reinforcement learning
T. P. Lillicrap, J. J. Hunt, A. Pritzel, N. Heess, T. Erez, Y. Tassa, D. Silver, and D. Wierstra · 2016
Cited alongside, same era.
Asynchronous methods for deep reinforcement learning
V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu · 2016
Cited alongside, same era.
Navigation planning for legged robots in challenging terrain
M. Wermelinger, P. Fankhauser, R. Diethelm, P. Krüsi, R. Siegwart, and M. Hutter · 2016
Cited alongside, same era.
Terrain-adaptive locomotion skills using deep reinforcement learning
X. B. Peng, G. Berseth, and M. Van de Panne · 2016
Cited alongside, same era.
Perceptive locomotion in rough terrain–online foothold optimization
F. Jenelten, T. Miki, A. E. Vijayan, M. Bjelonic, and M. Hutter · 2020
Later among the works it cites.
Gem: Online globally consistent dense elevation mapping for unstructured terrain
Y. Pan, X. Xu, X. Ding, S. Huang, Y. Wang, and R. Xiong · 2020
Later among the works it cites.
Multi-agent manipulation via locomotion using hierarchical sim2real
O. Nachum, M. Ahn, H. Ponte, S. S. Gu, and V. Kumar · 2020
Later among the works it cites.
Learning agile robotic locomotion skills by imitating animals
X. B. Peng, E. Coumans, T. Zhang, T.-W. E. Lee, J. Tan, and S. Levine · 2020
Later among the works it cites.
Learning fast adaptation with meta strategy optimization
W. Yu, J. Tan, Y. Bai, E. Coumans, and S. Ha · 2020
Later among the works it cites.
Rapidly adaptable legged robots via evolutionary meta-learning
X. Song, Y. Yang, K. Choromanski, K. Caluwaerts, W. Gao, C. Finn, and J. Tan · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
Cited alongside, same era.
Domain randomization for transferring deep neural networks from simulation to the real world
J. Tobin, R. Fong, A. Ray, J. Schneider, W. Zaremba, and P. Abbeel · 2017
Cited alongside, same era.
Grounded action transformation for robot learning in simulation
J. Hanna and P. Stone · 2017
Cited alongside, same era.
Preparing for the unknown: Learning a universal policy with online system identification
W. Yu, J. Tan, C. K. Liu, and G. Turk · 2017
Cited alongside, same era.
Trajectory and foothold optimization using low-dimensional models for rough terrain locomotion
C. Mastalli, M. Focchi, I. Havoutis, A. Radulescu, S. Calinon, J. Buchli, D. G. Caldwell, and C. Semini · 2017
Cited alongside, same era.
Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning
X. B. Peng, G. Berseth, K. Yin, and M. Van De Panne · 2017
Cited alongside, same era.
MiniRHex: A small, open-source, fully programmable walking hexapod
M. Barragan, N. Flowers, and A. M. Johnson · 2018
Cited alongside, same era.
Later among the works it cites.
Path planning with local motion estimations
J. Guzzi, R. O. Chavez-Garcia, M. Nava, L. M. Gambardella, and A. Giusti · 2020
Later among the works it cites.
Deepgait: Planning and control of quadrupedal gaits using deep reinforcement learning
V. Tsounis, M. Alge, J. Lee, F. Farshidian, and M. Hutter · 2020
Later among the works it cites.
Allsteps: Curriculum-driven learning of stepping stone skills
Z. Xie, H. Y. Ling, N. H. Kim, and M. van de Panne · 2020
Later among the works it cites.
From pixels to legs: Hierarchical learning of quadruped locomotion
D. Jain, A. Iscen, and K. Caluwaerts · 2020
Later among the works it cites.
Zero-shot terrain generalization for visual locomotion policies
A. Escontrela, G. Yu, P. Xu, A. Iscen, and J. Tan · 2020
Later among the works it cites.
RMA: Rapid Motor Adaptation for Legged Robots
A. Kumar, Z. Fu, D. Pathak, and J. Malik · 2021
Later among the works it cites.
Coupling vision and proprioception for navigation of legged robots
Z. Fu, A. Kumar, A. Agarwal, H. Qi, J. Malik, and D. Pathak · 2021
Later among the works it cites.
Vision-guided quadrupedal locomotion in the wild with multi-modal delay randomization
C. S. Imai, M. Zhang, Y. Zhang, M. Kierebinski, R. Yang, Y. Qin, and X. Wang · 2021
Later among the works it cites.
Dynamics randomization revisited: A case study for quadrupedal locomotion
Z. Xie, X. Da, M. van de Panne, B. Babich, and A. Garg · 2021
Later among the works it cites.
Minimizing energy consumption leads to the emergence of gaits in legged robots
Z. Fu, A. Kumar, J. Malik, and D. Pathak · 2021
Later among the works it cites.
Vision-aided dynamic quadrupedal locomotion on discrete terrain using motion libraries
A. Agrawal, S. Chen, A. Rai, and K. Sreenath · 2021
Later among the works it cites.
Rough terrain navigation for legged robots using reachability planning and template learning
L. Wellhausen and M. Hutter · 2021
Later among the works it cites.
Real-time optimal navigation planning using learned motion costs
B. Yang, L. Wellhausen, T. Miki, M. Liu, and M. Hutter · 2021
Later among the works it cites.
Real-time trajectory adaptation for quadrupedal locomotion using deep reinforcement learning
S. Gangapurwala, M. Geisert, R. Orsolino, M. Fallon, and I. Havoutis · 2021
Later among the works it cites.
Visual-locomotion: Learning to walk on complex terrains with vision
W. Yu, D. Jain, A. Escontrela, A. Iscen, P. Xu, E. Coumans, S. Ha, J. Tan, and T. Zhang · 2021
Later among the works it cites.
G. B. Margolis, T. Chen, K. Paigwar, X. Fu, D. Kim, S. Kim, and P. Agrawal · 2021
Later among the works it cites.
Learning robust perceptive locomotion for quadrupedal robots in the wild
T. Miki, J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter · 2022
Closest in time.
Elevation mapping for locomotion and navigation using gpu
T. Miki, L. Wellhausen, R. Grandia, F. Jenelten, T. Homberger, and M. Hutter · 2022
Closest in time.
Learning to walk in minutes using massively parallel deep reinforcement learning
N. Rudin, D. Hoeller, P. Reist, and M. Hutter · 2022
Closest in time.
Legged robots that keep on learning: Fine-tuning locomotion policies in the real world
L. Smith, J. C. Kew, X. B. Peng, S. Ha, J. Tan, and S. Levine · 2022
Closest in time.
Learning vision-guided quadrupedal locomotion end-to-end with cross-modal transformers
R. Yang, M. Zhang, N. Hansen, H. Xu, and X. Wang · 2022
Closest in time.