A review of mobile robots: Concepts, methods, theoretical framework, and applications

F Rubio, F Valero… - International Journal of …, 2019 - journals.sagepub.com
Humanoid robots, unmanned rovers, entertainment pets, drones, and so on are great
examples of mobile robots. They can be distinguished from other robots by their ability to …

Omnidirectional mobile robots, mechanisms and navigation approaches

H Taheri, CX Zhao - Mechanism and Machine Theory, 2020 - Elsevier
A bstract The omnidirectional drive is a popular challenging trend in today's mobile robotics
where different areas such as swarm, humanoid, legged, train-based, underwater, air flying …

Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation

Z Fu, TZ Zhao, C Finn - arXiv preprint arXiv:2401.02117, 2024 - arxiv.org
Imitation learning from human demonstrations has shown impressive performance in
robotics. However, most results focus on table-top manipulation, lacking the mobility and …

Deep whole-body control: learning a unified policy for manipulation and locomotion

Z Fu, X Cheng, D Pathak - Conference on Robot Learning, 2023 - proceedings.mlr.press
An attached arm can significantly increase the applicability of legged robots to several
mobile manipulation tasks that are not possible for the wheeled or tracked counterparts. The …

Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning

XB Peng, G Berseth, KK Yin… - Acm transactions on …, 2017 - dl.acm.org
Learning physics-based locomotion skills is a difficult problem, leading to solutions that
typically exploit prior knowledge of various forms. In this paper we aim to learn a variety of …

[图书][B] Evolutionary robotics

S Nolfi, J Bongard, P Husbands, D Floreano - 2016 - Springer
Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …

From human to humanoid locomotion—an inverse optimal control approach

K Mombaur, A Truong, JP Laumond - Autonomous robots, 2010 - Springer
The purpose of this paper is to present inverse optimal control as a promising approach to
transfer biological motions to robots. Inverse optimal control helps (a) to understand and …

Allsteps: curriculum‐driven learning of stepping stone skills

Z Xie, HY Ling, NH Kim… - Computer Graphics …, 2020 - Wiley Online Library
Humans are highly adept at walking in environments with foot placement constraints,
including stepping‐stone scenarios where footstep locations are fully constrained. Finding …

Learning to search: Functional gradient techniques for imitation learning

ND Ratliff, D Silver, JA Bagnell - Autonomous Robots, 2009 - Springer
Programming robot behavior remains a challenging task. While it is often easy to abstractly
define or even demonstrate a desired behavior, designing a controller that embodies the …

Push recovery by stepping for humanoid robots with force controlled joints

BJ Stephens, CG Atkeson - 2010 10th IEEE-RAS International …, 2010 - ieeexplore.ieee.org
In order to interact with human environments, humanoid robots require safe and compliant
control which can be achieved through force-controlled joints. In this paper, full body step …