Reaching the limit in autonomous racing: Optimal control versus reinforcement learning

Y Song, A Romero, M Müller, V Koltun… - Science Robotics, 2023 - science.org
A central question in robotics is how to design a control system for an agile mobile robot.
This paper studies this question systematically, focusing on a challenging setting …

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 …

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 …

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 …

Versatile multicontact planning and control for legged loco-manipulation

JP Sleiman, F Farshidian, M Hutter - Science Robotics, 2023 - science.org
Loco-manipulation planning skills are pivotal for expanding the utility of robots in everyday
environments. These skills can be assessed on the basis of a system's ability to coordinate …

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 …

Highly dynamic quadruped locomotion via whole-body impulse control and model predictive control

D Kim, J Di Carlo, B Katz, G Bledt, S Kim - arxiv preprint arxiv:1909.06586, 2019 - arxiv.org
Dynamic legged locomotion is a challenging topic because of the lack of established control
schemes which can handle aerial phases, short stance times, and high-speed leg swings. In …

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 …

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 …

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 …