Anymal parkour: Learning agile navigation for quadrupedal robots

D Hoeller, N Rudin, D Sako, M Hutter - Science Robotics, 2024 - science.org
Performing agile navigation with four-legged robots is a challenging task because of the
highly dynamic motions, contacts with various parts of the robot, and the limited field of view …

Learning robust perceptive locomotion for quadrupedal robots in the wild

T Miki, J Lee, J Hwangbo, L Wellhausen, V Koltun… - Science robotics, 2022 - science.org
Legged robots that can operate autonomously in remote and hazardous environments will
greatly increase opportunities for exploration into underexplored areas. Exteroceptive …

Representation-free model predictive control for dynamic motions in quadrupeds

Y Ding, A Pandala, C Li, YH Shin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a novel representation-free model predictive control (RF-MPC)
framework for controlling various dynamic motions of a quadrupedal robot in three …

Learning and adapting agile locomotion skills by transferring experience

L Smith, JC Kew, T Li, L Luu, XB Peng, S Ha… - arXiv preprint arXiv …, 2023 - arxiv.org
Legged robots have enormous potential in their range of capabilities, from navigating
unstructured terrains to high-speed running. However, designing robust controllers for highly …

Advanced skills by learning locomotion and local navigation end-to-end

N Rudin, D Hoeller, M Bjelonic… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
The common approach for local navigation on challenging environments with legged robots
requires path planning, path following and locomotion, which usually requires a locomotion …

Electrohydraulic musculoskeletal robotic leg for agile, adaptive, yet energy-efficient locomotion

TJK Buchner, T Fukushima, A Kazemipour… - Nature …, 2024 - nature.com
Robotic locomotion in unstructured terrain demands an agile, adaptive, and energy-efficient
architecture. To traverse such terrains, legged robots use rigid electromagnetic motors and …

Creating a dynamic quadrupedal robotic goalkeeper with reinforcement learning

X Huang, Z Li, Y Xiang, Y Ni, Y Chi, Y Li… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
We present a reinforcement learning (RL) framework that enables quadrupedal robots to
perform soccer goalkeeping tasks in the real world. Soccer goalkeeping with quadrupeds is …

Cajun: Continuous adaptive jumping using a learned centroidal controller

Y Yang, G Shi, X Meng, W Yu… - … on Robot Learning, 2023 - proceedings.mlr.press
We present CAJun, a novel hierarchical learning and control framework that enables legged
robots to jump continuously with adaptive jumping distances. CAJun consists of a high-level …

Tribological behavior of bioinspired surfaces

SK Sharma, HS Grewal - Biomimetics, 2023 - mdpi.com
Energy losses due to various tribological phenomena pose a significant challenge to
sustainable development. These energy losses also contribute toward increased emissions …

Reinforcement learning-based stable jump control method for asteroid-exploration quadruped robots

J Qi, H Gao, H Su, L Han, B Su, M Huo, H Yu… - Aerospace Science and …, 2023 - Elsevier
Unlike the spherical gravitational field of planets and other large solar system bodies, the
gravitational field of asteroids is irregular and weak. It is challenging for a planetary rover to …