Model predictive control of legged and humanoid robots: models and algorithms

S Katayama, M Murooka, Y Tazaki - Advanced Robotics, 2023 - Taylor & Francis
Model predictive control (MPC) of legged and humanoid robotic systems has been an active
research topic in the past decade. While MPC for robotic systems has a long history, its …

The current state and future outlook of rescue robotics

J Delmerico, S Mintchev, A Giusti… - Journal of Field …, 2019 - Wiley Online Library
Robotic technologies, whether they are remotely operated vehicles, autonomous agents,
assistive devices, or novel control interfaces, offer many promising capabilities for …

Amphibious and sprawling locomotion: from biology to robotics and back

AJ Ijspeert - Annual Review of Control, Robotics, and …, 2020 - annualreviews.org
A milestone in vertebrate evolution, the transition from water to land, owes its success to the
development of a sprawling body plan that enabled an amphibious lifestyle. The body …

Fast and efficient locomotion via learned gait transitions

Y Yang, T Zhang, E Coumans… - Conference on Robot …, 2022 - proceedings.mlr.press
We focus on the problem of develo** energy efficient controllers for quadrupedal robots.
Animals can actively switch gaits at different speeds to lower their energy consumption. In …

Animal robots in the African wilderness: Lessons learned and outlook for field robotics

K Melo, T Horvat, AJ Ijspeert - Science Robotics, 2023 - science.org
In early 2016, we had the opportunity to test a pair of sprawling posture robots, one
designed to mimic a crocodile and another designed to mimic a monitor lizard, along the …

Model predictive control with environment adaptation for legged locomotion

N Rathod, A Bratta, M Focchi, M Zanon… - IEEE …, 2021 - ieeexplore.ieee.org
Re-planning in legged locomotion is crucial to track the desired user velocity while adapting
to the terrain and rejecting external disturbances. In this work, we propose and test in …

Humanconquad: human motion control of quadrupedal robots using deep reinforcement learning

S Kim, M Sorokin, J Lee, S Ha - SIGGRAPH Asia 2022 Emerging …, 2022 - dl.acm.org
Robotic creatures are capable of entering hazardous environments instead of human
workers, but it is challenging to develop a fully autonomous agent that can work …

A Novel Design Methodology of CPG Model for a Salamander-like Robot

Y Liu, Z Liu, Y Fang, H Liu, X Guo - IEEE Robotics and …, 2024 - ieeexplore.ieee.org
In this letter, we present a novel method for the design of central pattern generator (CPG)
model, and then utilize it to control a salamander-like robot. The CPG network is composed …

Robust Robot Walker: Learning Agile Locomotion over Tiny Traps

S Zhu, R Huang, L Mou, H Zhao - arxiv preprint arxiv:2409.07409, 2024 - arxiv.org
Quadruped robots must exhibit robust walking capabilities in practical applications. In this
work, we propose a novel approach that enables quadruped robots to pass various small …

Fuzzy Logic and Neural Network-Based Intelligent Control System for Quadruped Robot on Extreme Terrain

J Jeon, M Jeong, H Myung - 2023 23rd International …, 2023 - ieeexplore.ieee.org
The quadruped robot has the advantage of having a high degree of freedom of motion.
Therefore, it has been used in various robot applications such as exploration. However, the …