Fetching the paper…
Reading the bibliography…
Standing-up control is crucial for humanoid robots, with the potential for integration into current locomotion and loco-manipulation systems, such as fall recovery.
Eye–hand coordination in the newborn
Claes Von Hofsten · 1982
Earlier work this paper cites.
The first humanoid robot that has the same size as a human and that can lie down and get up
Fumio Kanehiro, Kenji Kaneko, Kiyoshi Fujiwara, Kensuke Harada, Shuuji Kajita, Kazuhito Yokoi, Hirohisa Hirukawa, Kazuhiko Akachi, and Takakatsu Isozumi · 2003
Earlier work this paper cites.
Rate of change of angular momentum and balance maintenance of biped robots
Ambarish Goswami and Vinutha Kallem · 2004
Earlier work this paper cites.
Dynamic roll-and-rise motion by an adult-size humanoid robot
Yasuo Kuniyoshi, Yoshiyuki Ohmura, Koji Terada, and Akihiko Nagakubo · 2004
Earlier work this paper cites.
Model-based dynamic self-righting maneuvers for a hexapedal robot
Uluc Saranli, Alfred A Rizzi, and Daniel E Koditschek · 2004
Earlier work this paper cites.
Getting back on two feet: Reliable standing-up routines for a humanoid robot
Jörg Stückler, Johannes Schwenk, and Sven Behnke · 2006
Earlier work this paper cites.
Getting up motion planning using mahalanobis distance
Fumio Kanehiro, Kiyoshi Fujiwara, Hirohisa Hirukawa, Shin’ichiro Nakaoka, and Mitsuharu Morisawa · 2007
Earlier work this paper cites.
The control of posture in newly standing infants is task dependent
Laura J Claxton, Dawn K Melzer, Joong Hyun Ryu, and Jeffrey M Haddad · 2012
Earlier work this paper cites.
A multi-stage approach for efficiently learning humanoid robot stand-up behavior
Dingsheng Luo, Yaoxiang Ding, Zidong Cao, and Xihong Wu · 2014
Earlier work this paper cites.
Markov decision processes: discrete stochastic dynamic programming
Martin L Puterman · 2014
Earlier work this paper cites.
High-dimensional continuous control using generalized advantage estimation
John Schulman, Philipp Moritz, Sergey Levine, Michael I. Jordan, and P. Abbeel · 2015
Earlier work this paper cites.
An efficient optimal planning and control framework for quadrupedal locomotion
Farbod Farshidian, Michael Neunert, Alexander W Winkler, Gonzalo Rey, and Jonas Buchli · 2017
Earlier work this paper cites.
Trajectory optimization through contacts and automatic gait discovery for quadrupeds
Michael Neunert, Farbod Farshidian, Alexander W Winkler, and Jonas Buchli · 2017
Earlier work this paper cites.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Earlier work this paper cites.
Domain randomization for transferring deep neural networks from simulation to the real world
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, and Pieter Abbeel · 2017
Earlier work this paper cites.
Umap: Uniform manifold approximation and projection for dimension reduction
Leland McInnes, John Healy, and James Melville · 2018
Earlier work this paper cites.
Deepmimic: Example-guided deep reinforcement learning of physics-based character skills
Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel Van de Panne · 2018
Earlier work this paper cites.
Reinforcement learning: An introduction
Richard S Sutton and Andrew G Barto · 2018
Cited alongside, same era.
Yuval Tassa, Yotam Doron, Alistair Muldal, Tom Erez, Yazhe Li, Diego de Las Casas, David Budden, Abbas Abdolmaleki, Josh Merel, Andrew Lefrancq, et al · 2018
Cited alongside, same era.
Exploration by random network distillation
Yuri Burda, Harrison Edwards, Amos Storkey, and Oleg Klimov · 2019
Cited alongside, same era.
Design a fall recovery strategy for a wheel-legged quadruped robot using stability feature space
Juan Alejandro Castano, Chengxu Zhou, and Nikos Tsagarakis · 2019
Cited alongside, same era.
Learning agile and dynamic motor skills for legged robots
Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, and Marco Hutter · 2019
Cited alongside, same era.
Sim-to-real learning for humanoid box loco-manipulation
Jeremy Dao, Helei Duan, and Alan Fern · 2024
Later among the works it cites.
Humanplus: Humanoid shadowing and imitation from humans
Zipeng Fu, Qingqing Zhao, Qi Wu, Gordon Wetzstein, and Chelsea Finn · 2024
Later among the works it cites.
Frasa: An end-to-end reinforcement learning agent for fall recovery and stand up of humanoid robots
Clément Gaspard, Marc Duclusaud, Grégoire Passault, Mélodie Daniel, and Olivier Ly · 2024
Later among the works it cites.
Learning agile soccer skills for a bipedal robot with deep reinforcement learning
Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y Siegel, Roland Hafner, et al · 2024
Later among the works it cites.
Omnih2o: Universal and dexterous human-to-humanoid whole-body teleoperation and learning
Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris Kitani, Changliu Liu, and Guanya Shi · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Joonho Lee, Jemin Hwangbo, and Marco Hutter · 2019
Cited alongside, same era.
Rma: Rapid motor adaptation for legged robots
Ashish Kumar, Zipeng Fu, Deepak Pathak, and Jitendra Malik · 2021
Cited alongside, same era.
Isaac gym: High performance gpu-based physics simulation for robot learning
Viktor Makoviychuk, Lukasz Wawrzyniak, Yunrong Guo, Michelle Lu, Kier Storey, Miles Macklin, David Hoeller, Nikita Rudin, Arthur Allshire, Ankur Handa, et al · 2021
Cited alongside, same era.
L2c2: Locally lipschitz continuous constraint towards stable and smooth reinforcement learning
Taisuke Kobayashi · 2022
Cited alongside, same era.
Multi-critic actor learning: Teaching rl policies to act with style
Siddharth Mysore, George Cheng, Yunqi Zhao, Kate Saenko, and Meng Wu · 2022
Cited alongside, same era.
Learning to get up
Tianxin Tao, Matthew Wilson, Ruiyu Gou, and Michiel Van De Panne · 2022
Cited alongside, same era.
Robust and versatile bipedal jumping control through reinforcement learning
Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, and Koushil Sreenath · 2023
Cited alongside, same era.
Harmon: Whole-body motion generation of humanoid robots from language descriptions
Zhenyu Jiang, Yuqi Xie, Jinhan Li, Ye Yuan, Yifeng Zhu, and Yuke Zhu · 2024
Later among the works it cites.
Dohyeong Kim, Hyeokjin Kwon, Junseok Kim, Gunmin Lee, and Songhwai Oh · 2024
Later among the works it cites.
Fukang Liu, Zhaoyuan Gu, Yilin Cai, Ziyi Zhou, Shijie Zhao, Hyunyoung Jung, Sehoon Ha, Yue Chen, Danfei Xu, and Ye Zhao · 2024
Later among the works it cites.
Learning humanoid locomotion with perceptive internal model
Junfeng Long, Junli Ren, Moji Shi, Zirui Wang, Tao Huang, Ping Luo, and Jiangmiao Pang · 2024
Later among the works it cites.
Real-world humanoid locomotion with reinforcement learning
Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, and Koushil Sreenath · 2024
Later among the works it cites.
Learning to walk in minutes using massively parallel deep reinforcement learning
N. Rudin, David Hoeller, Philipp Reist, and Marco Hutter · 2024
Later among the works it cites.
Hypermotion: Learning hybrid behavior planning for autonomous loco-manipulation
Jin Wang, Rui Dai, Weijie Wang, Luca Rossini, Francesco Ruscelli, and Nikos Tsagarakis · 2024
Later among the works it cites.
Robotkeyframing: Learning locomotion with high-level objectives via mixture of dense and sparse rewards
Fatemeh Zargarbashi, Jin Cheng, Dongho Kang, Robert Sumner, and Stelian Coros · 2024
Later among the works it cites.
Wococo: Learning whole-body humanoid control with sequential contacts
Chong Zhang, Wenli Xiao, Tairan He, and Guanya Shi · 2024
Later among the works it cites.
Humanoid parkour learning
Ziwen Zhuang, Shenzhe Yao, and Hang Zhao · 2024
Later among the works it cites.
Hover: Versatile neural whole-body controller for humanoid robots
Tairan He, Wenli Xiao, Toru Lin, Zhengyi Luo, Zhenjia Xu, Zhenyu Jiang, Jan Kautz, Changliu Liu, Guanya Shi, Xiaolong Wang, et al · 2025
Closest in time.