Fetching the paper…
Reading the bibliography…
Humanoid robots can, in principle, use their legs to go almost anywhere.
M. Vukobratović and D. Juričić, “Contribution to the synthesis of biped gait,” IFAC Proceedings Volumes , 1968
1968
Earlier work this paper cites.
M. H. Raibert, Legged robots that balance . MIT press, 1986
1986
Earlier work this paper cites.
T. M. Lejeune, P. A. Willems, and N. C. Heglund, “Mechanics and energetics of human locomotion on sand,” Journal of Experimental Biology , 1998
1998
Earlier work this paper cites.
S. H. Collins, M. Wisse, and A. Ruina, “A three-dimensional passive-dynamic walking robot with two legs and knees,” IJRR , 2001
2001
Earlier work this paper cites.
J. M. Hausdorff, D. A. Rios, and H. K. Edelberg, “Gait variability and fall risk in community-living older adults: a 1-year prospective study,” Archives of physical medicine and rehabilitation , 2001
2001
Earlier work this paper cites.
S. Kajita, F. Kanehiro, K. Kaneko, K. Fujiwara, K. Harada, K. Yokoi, and H. Hirukawa, “Biped walking pattern generation by using preview control of zero-moment point,” in ICRA , 2003
2003
Earlier work this paper cites.
J. Chestnutt, J. Kuffner, K. Nishiwaki, and S. Kagami, “Planning biped navigation strategies in complex environments,” in Humanoids , 2003
2003
Earlier work this paper cites.
M. Vukobratović and B. Borovac, “Zero-moment point—thirty five years of its life,” International journal of humanoid robotics , 2004
2004
Earlier work this paper cites.
R. Tedrake, T. W. Zhang, and H. S. Seung, “Stochastic policy gradient reinforcement learning on a simple 3d biped,” in IROS , 2004
2004
Earlier work this paper cites.
S. Iida, S. Kato, K. Kuwayama, T. Kunitachi, M. Kanoh, and H. Itoh, “Humanoid robot control based on reinforcement learning,” in Micro-Nanomechatronics and Human Science , 2004
2004
Earlier work this paper cites.
S. Collins, A. Ruina, R. Tedrake, and M. Wisse, “Efficient bipedal robots based on passive-dynamic walkers,” Science , 2005
2005
Earlier work this paper cites.
M. Hirose and K. Ogawa, “Honda humanoid robots development,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , 2007
2007
Earlier work this paper cites.
M. Raibert, K. Blankespoor, G. Nelson, and R. Playter, “Bigdog, the rough-terrain quadruped robot,” IFAC Proceedings Volumes , 2008
2008
Earlier work this paper cites.
L. Van der Maaten and G. Hinton, “Visualizing data using t-sne.” JMLR , 2008
2008
Earlier work this paper cites.
M. Zucker, J. A. Bagnell, C. G. Atkeson, and J. Kuffner, “An optimization approach to rough terrain locomotion,” in ICRA , 2010
2010
Earlier work this paper cites.
B. J. Stephens and C. G. Atkeson, “Dynamic balance force control for compliant humanoid robots,” in IROS , 2010
2010
Earlier work this paper cites.
J. Zico Kolter and A. Y. Ng, “The stanford littledog: A learning and rapid replanning approach to quadruped locomotion,” IJRR , 2011
2011
Earlier work this paper cites.
Y. Zhao and L. Sentis, “A three dimensional foot placement planner for locomotion in very rough terrains,” in Humanoids , 2012
2012
Earlier work this paper cites.
E. Todorov, T. Erez, and Y. Tassa, “Mujoco: A physics engine for model-based control,” in IROS , 2012
2012
Cited alongside, same era.
R. Deits and R. Tedrake, “Footstep planning on uneven terrain with mixed-integer convex optimization,” in Humanoids , 2014
2014
Cited alongside, same era.
M. Johnson, B. Shrewsbury, S. Bertrand, T. Wu, D. Duran, M. Floyd, P. Abeles, D. Stephen, N. Mertins, A. Lesman et al. , “Team ihmc’s lessons learned from the darpa robotics challenge trials,” Journal of Field Robotics , 2015
2015
Cited alongside, same era.
A. Hereid, E. A. Cousineau, C. M. Hubicki, and A. D. Ames, “3d dynamic walking with underactuated humanoid robots: A direct collocation framework for optimizing hybrid zero dynamics,” in ICRA , 2016
2016
Cited alongside, same era.
R. J. Griffin, G. Wiedebach, S. McCrory, S. Bertrand, I. Lee, and J. Pratt, “Footstep planning for autonomous walking over rough terrain,” in Humanoids , 2019
2019
Later among the works it cites.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever et al. , “Language models are unsupervised multitask learners,” 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
N. Mahmood, N. Ghorbani, N. F. Troje, G. Pons-Moll, and M. J. Black, “AMASS: Archive of motion capture as surface shapes,” in ICCV , 2019
2019
Later among the works it cites.
J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, “Learning quadrupedal locomotion over challenging terrain,” Science Robotics , 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2016
Cited alongside, same era.
T. Koolen, S. Bertrand, G. Thomas, T. De Boer, T. Wu, J. Smith, J. Englsberger, and J. Pratt, “Design of a momentum-based control framework and application to the humanoid robot atlas,” IJHR , 2016
2016
Cited alongside, same era.
M. Plappert, C. Mandery, and T. Asfour, “The KIT motion-language dataset,” Big Data , 2016
2016
Cited alongside, same era.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” in NIPS , 2017
2017
Cited alongside, same era.
J. Carreira and A. Zisserman, “Quo vadis, action recognition? a new model and the kinetics dataset,” in CVPR , 2017
2017
Cited alongside, same era.
2017
Cited alongside, same era.
L. Pinto, M. Andrychowicz, P. Welinder, W. Zaremba, and P. Abbeel, “Asymmetric actor critic for image-based robot learning,” RSS , 2017
2017
Cited alongside, same era.
J. Di Carlo, P. M. Wensing, B. Katz, G. Bledt, and S. Kim, “Dynamic locomotion in the mit cheetah 3 through convex model-predictive control,” in IROS , 2018
2018
Cited alongside, same era.
2020
Later among the works it cites.
D. Kim, S. J. Jorgensen, J. Lee, J. Ahn, J. Luo, and L. Sentis, “Dynamic locomotion for passive-ankle biped robots and humanoids using whole-body locomotion control,” IJRR , 2020
2020
Later among the works it cites.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell et al. , “Language models are few-shot learners,” in NeurIPS , 2020
2020
Later among the works it cites.
A. Kumar, Z. Fu, D. Pathak, and J. Malik, “Rma: Rapid motor adaptation for legged robots,” in RSS , 2021
2021
Later among the works it cites.
J. Siekmann, Y. Godse, A. Fern, and J. Hurst, “Sim-to-real learning of all common bipedal gaits via periodic reward composition,” in ICRA , 2021
2021
Later among the works it cites.
J. Siekmann, K. Green, J. Warila, A. Fern, and J. Hurst, “Blind bipedal stair traversal via sim-to-real reinforcement learning,” in RSS , 2021
2021
Later among the works it cites.
D. Rodriguez and S. Behnke, “Deepwalk: Omnidirectional bipedal gait by deep reinforcement learning,” in ICRA , 2021
2021
Later among the works it cites.
G. A. Castillo, B. Weng, W. Zhang, and A. Hereid, “Robust feedback motion policy design using reinforcement learning on a 3d digit bipedal robot,” in IROS , 2021
2021
Later among the works it cites.
2021
Later among the works it cites.
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray et al. , “Training language models to follow instructions with human feedback,” in NeurIPS , 2022
2022
Later among the works it cites.
J. Rajasegaran, G. Pavlakos, A. Kanazawa, and J. Malik, “Tracking people by predicting 3d appearance, location and pose,” in CVPR , 2022
2022
Later among the works it cites.
J. Weng, M. Lin, S. Huang, B. Liu, D. Makoviichuk, V. Makoviychuk, Z. Liu, Y. Song, T. Luo, Y. Jiang, Z. Xu, and S. Yan, “EnvPool: A highly parallel reinforcement learning environment execution engine,” in NeurIPS , 2022
2022
Later among the works it cites.
I. Radosavovic, T. Xiao, B. Zhang, T. Darrell, J. Malik, and K. Sreenath, “Real-world humanoid locomotion with reinforcement learning,” Science Robotics , 2024
2024
Closest in time.