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Deep reinforcement learning (DRL) has emerged as a promising solution to mastering explosive and versatile quadrupedal jumping skills.
“Proximal policy optimization algorithms”
John Schulman et al · 2017
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“DeepMimic: example-guided deep reinforcement learning of physics-based character skills”
Xue Peng, Pieter Abbeel, Sergey Levine and Michiel van Panne · 2018
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Jemin Hwangbo et al · 2019
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“Optimized Jumping on the MIT Cheetah 3 Robot”
Quan Nguyen et al · 2019
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“Learning quadrupedal locomotion over challenging terrain”
Joonho Lee et al · 2020
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“ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills”
Zhaoming Xie, Hung Ling, Nam Kim and Michiel van Panne · 2020
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“RMA: Rapid Motor Adaptation for Legged Robots” arXiv:2107.04034 [cs]
Ashish Kumar, Zipeng Fu, Deepak Pathak and Jitendra Malik · 2021
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“Amp: Adversarial motion priors for stylized physics-based character control”
Xue Peng et al · 2021
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“Discovering diverse athletic jumping strategies”
Zhiqi Yin, Zeshi Yang, Michiel van Panne and KangKang Yin · 2021
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“Learning to Jump from Pixels”
Gabriel. Margolis et al · 2021
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“Learning robust perceptive locomotion for quadrupedal robots in the wild”
Takahiro Miki et al · 2022
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“Legged Locomotion in Challenging Terrains using Egocentric Vision” arXiv:2211.07638 [cs, eess]
Ananye Agarwal, Ashish Kumar, Jitendra Malik and Deepak Pathak · 2022
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“Contact-timing and trajectory optimization for 3d jumping on quadruped robots”
Chuong Nguyen and Quan Nguyen · 2022
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Marko Bjelonic et al · 2022
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“Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning”
Nikita Rudin, David Hoeller, Philipp Reist and Marco Hutter · 2022
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Chenhao Li et al · 2022
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“Robust Quadruped Jumping via Deep Reinforcement Learning”
Guillaume Bellegarda, Chuong Nguyen and Quan Nguyen · 2023
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“OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors”
Yuni Fuchioka, Zhaoming Xie and Michiel van Panne · 2023
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“Learning and Adapting Agile Locomotion Skills by Transferring Experience”
Laura. Smith et al · 2023
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“Continuous Versatile Jumping Using Learned Action Residuals”
Yuxiang Yang et al · 2023
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“CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller”
Yuxiang Yang et al · 2023
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Fangzhou Yu et al · 2022
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Alejandro Escontrela et al · 2022
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“Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning”
Eric Vollenweider et al · 2022
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“Cat-like Jumping and Landing of Legged Robots in Low-gravity Using Deep Reinforcement Learning”
Nikita Rudin, Hendrik Kolvenbach, Vassilios Tsounis and Marco Hutter · 2022
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“Robust Jumping with an Articulated Soft Quadruped via Trajectory Optimization and Iterative Learning”
Jiatao Ding et al · 2023
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“Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning”
Zhongyu Li et al · 2023
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“Extreme Parkour with Legged Robots”
Xuxin Cheng, Kexin Shi, Ananye Agarwal and Deepak Pathak · 2023
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“ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots”
David Hoeller, Nikita Rudin, Dhionis Sako and Marco Hutter · 2023
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“Barkour: Benchmarking Animal-level Agility with Quadruped Robots”, 2023
Ken Caluwaerts et al · 2023
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Ziwen Zhuang et al · 2023
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