Learning-based legged locomotion: State of the art and future perspectives

S Ha, J Lee, M van de Panne, Z **e… - … Journal of Robotics …, 2024 - journals.sagepub.com
Legged locomotion holds the premise of universal mobility, a critical capability for many real-
world robotic applications. Both model-based and learning-based approaches have …

Evolving embodied intelligence from materials to machines

D Howard, AE Eiben, DF Kennedy, JB Mouret… - Nature Machine …, 2019 - nature.com
Natural lifeforms specialize to their environmental niches across many levels, from low-level
features such as DNA and proteins, through to higher-level artefacts including eyes, limbs …

An efficient acyclic contact planner for multiped robots

S Tonneau, A Del Prete, J Pettré, C Park… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
We present a contact planner for complex legged locomotion tasks: standing up, climbing
stairs using a handrail, crossing rubble, and getting out of a car. The need for such a planner …

Bipedal humanoid hardware design: A technology review

G Ficht, S Behnke - Current Robotics Reports, 2021 - Springer
Abstract Purpose of Review As new technological advancements are made, humanoid
robots that utilise them are being designed and manufactured. For optimal design choices, a …

[HTML][HTML] Reset-free trial-and-error learning for robot damage recovery

K Chatzilygeroudis, V Vassiliades, JB Mouret - Robotics and Autonomous …, 2018 - Elsevier
The high probability of hardware failures prevents many advanced robots (eg, legged
robots) from being confidently deployed in real-world situations (eg, post-disaster rescue) …

Why animals can outrun robots

SA Burden, T Libby, K Jayaram, S Sponberg… - Science Robotics, 2024 - science.org
Animals are much better at running than robots. The difference in performance arises in the
important dimensions of agility, range, and robustness. To understand the underlying …

Adaptive mobile manipulation for articulated objects in the open world

H **ong, R Mendonca, K Shaw, D Pathak - arxiv preprint arxiv …, 2024 - arxiv.org
Deploying robots in open-ended unstructured environments such as homes has been a long-
standing research problem. However, robots are often studied only in closed-off lab settings …

[HTML][HTML] Machine learning meets advanced robotic manipulation

S Nahavandi, R Alizadehsani, D Nahavandi, CP Lim… - Information …, 2024 - Elsevier
Automated industries lead to high quality production, lower manufacturing cost and better
utilization of human resources. Robotic manipulator arms have major role in the automation …

Autonomous robots for harsh environments: a holistic overview of current solutions and ongoing challenges

C Wong, E Yang, XT Yan, D Gu - Systems Science & Control …, 2018 - Taylor & Francis
This paper presents a holistic overview of robotics and autonomous systems developed for
applications in harsh environments where interactions with robots are difficult to model due …

[HTML][HTML] Multi-contact planning and control for humanoid robots: Design and validation of a complete framework

P Ferrari, L Rossini, F Ruscelli, A Laurenzi… - Robotics and …, 2023 - Elsevier
In this paper, we consider the problem of generating appropriate motions for a torque-
controlled humanoid robot that is assigned a multi-contact loco-manipulation task, ie, a task …