A review of physics simulators for robotic applications

J Collins, S Chand, A Vanderkop, D Howard - IEEE Access, 2021 - ieeexplore.ieee.org
The use of simulators in robotics research is widespread, underpinning the majority of recent
advances in the field. There are now more options available to researchers than ever before …

Perceptive locomotion through nonlinear model-predictive control

R Grandia, F Jenelten, S Yang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Dynamic locomotion in rough terrain requires accurate foot placement, collision avoidance,
and planning of the underactuated dynamics of the system. Reliably optimizing for such …

Dtc: Deep tracking control

F Jenelten, J He, F Farshidian, M Hutter - Science Robotics, 2024 - science.org
Legged locomotion is a complex control problem that requires both accuracy and
robustness to cope with real-world challenges. Legged systems have traditionally been …

Dynamic locomotion in the mit cheetah 3 through convex model-predictive control

J Di Carlo, PM Wensing, B Katz… - 2018 IEEE/RSJ …, 2018 - ieeexplore.ieee.org
This paper presents an implementation of model predictive control (MPC) to determine
ground reaction forces for a torque-controlled quadruped robot. The robot dynamics are …

Optimization-based control for dynamic legged robots

PM Wensing, M Posa, Y Hu, A Escande… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In a world designed for legs, quadrupeds, bipeds, and humanoids have the opportunity to
impact emerging robotics applications from logistics, to agriculture, to home assistance. The …

Multi-expert learning of adaptive legged locomotion

C Yang, K Yuan, Q Zhu, W Yu, Z Li - Science Robotics, 2020 - science.org
Achieving versatile robot locomotion requires motor skills that can adapt to previously
unseen situations. We propose a multi-expert learning architecture (MELA) that learns to …

A unified mpc framework for whole-body dynamic locomotion and manipulation

JP Sleiman, F Farshidian, MV Minniti… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
In this letter, we propose a whole-body planning framework that unifies dynamic locomotion
and manipulation tasks by formulating a single multi-contact optimal control problem. We …

Crocoddyl: An efficient and versatile framework for multi-contact optimal control

C Mastalli, R Budhiraja, W Merkt… - … on Robotics and …, 2020 - ieeexplore.ieee.org
We introduce Crocoddyl (Contact RObot COntrol by Differential DYnamic Library), an open-
source framework tailored for efficient multi-contact optimal control. Crocoddyl efficiently …

Recent progress in legged robots locomotion control

J Carpentier, PB Wieber - Current Robotics Reports, 2021 - Springer
Purpose of review In recent years, legged robots locomotion has been transitioning from
mostly flat ground in controlled settings to generic indoor and outdoor environments …

Deepgait: Planning and control of quadrupedal gaits using deep reinforcement learning

V Tsounis, M Alge, J Lee, F Farshidian… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
This letter addresses the problem of legged locomotion in non-flat terrain. As legged robots
such as quadrupeds are to be deployed in terrains with geometries which are difficult to …