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In this paper, we devise methods for the multi- objective control of humanoid robots, a.k.a. prioritized whole- body controllers, that achieve efficiency and robustness in the algorithmic computations. We use a form of whole-body…

Robotics · Computer Science 2018-07-04 Donghyun Kim , Jaemin Lee , Orion Campbell , Hochul Hwang , Luis Sentis

Reduced-order template models like the Linear Inverted Pendulum (LIP) and Spring-Loaded Inverted Pendulum (SLIP) are widely used tools for controlling high-dimensional humanoid robots. However, connections between templates and whole-body…

Robotics · Computer Science 2019-09-24 Vince Kurtz , Rafael Rodrigues da Silva , Patrick M. Wensing , Hai Lin

We present experimental results using a passive whole-body control approach for quadruped robots that achieves dynamic locomotion while compliantly balancing the robot's trunk. We formulate the motion tracking as a Quadratic Program (QP)…

Robotics · Computer Science 2019-03-14 Shamel Fahmi , Carlos Mastalli , Michele Focchi , Claudio Semini

Motion imitation is a pivotal and effective approach for humanoid robots to achieve a more diverse range of complex and expressive movements, making their performances more human-like. However, the significant differences in kinematics and…

Robotics · Computer Science 2025-08-04 Zhenghan Chen , Haodong Zhang , Dongqi Wang , Jiyu Yu , Haocheng Xu , Yue Wang , Rong Xiong

We introduce a robust control architecture for the whole-body motion control of torque controlled robots with arms and legs. The method is based on the robust control of contact forces in order to track a planned Center of Mass trajectory.…

Robotics · Computer Science 2018-01-31 Farbod Farshidian , Edo Jelavić , Alexander W. Winkler , Jonas Buchli

Humanoid robots often face significant balance issues due to the motion of their heavy limbs. These challenges are particularly pronounced when attempting dynamic motion or operating in environments with irregular terrain. To address this…

Robotics · Computer Science 2025-11-18 Tianlin Zhang , Linzhu Yue , Hongbo Zhang , Lingwei Zhang , Xuanqi Zeng , Zhitao Song , Yun-Hui Liu

This paper presents a novel model-free method for humanoid-robot quasi-static movement control. Traditional model-based methods often require precise robot model parameters. Additionally, existing learning-based frameworks often train the…

Robotics · Computer Science 2023-03-01 Boren Jiang , Ximeng Tao , Yuanfeng Han , Wanze Li , Gregory S. Chirikjian

Quadrupedal manipulators require to be compliant when dealing with external forces during autonomous manipulation, tele-operation or physical human-robot interaction. This paper presents a whole-body controller that allows for the…

Robotics · Computer Science 2022-08-02 Mattia Risiglione , Victor Barasuol , Darwin G. Caldwell , Claudio Semini

When do locomotion controllers require reasoning about nonlinearities? In this work, we show that a whole-body model-predictive controller using a simple linear time-invariant approximation of the whole-body dynamics is able to execute…

Endowing humanoid robots with the ability to perform highly dynamic motions akin to human-level acrobatics has been a long-standing challenge. Successfully performing these maneuvers requires close consideration of the underlying physics in…

Robotics · Computer Science 2025-08-13 Gerald Brantner

This manuscript presents a model of compliant contacts for time-critical humanoid robot motion control. The proposed model considers the environment as a continuum of spring-damper systems, which allows us to compute the equivalent contact…

Robotics · Computer Science 2021-06-01 Giulio Romualdi , Stefano Dafarra , Daniele Pucci

We introduce a new approach for the robust control of quantum dynamics of strongly interacting many-body systems. Our approach involves the design of periodic global control pulse sequences to engineer desired target Hamiltonians that are…

Quantum Physics · Physics 2020-07-08 Joonhee Choi , Hengyun Zhou , Helena S. Knowles , Renate Landig , Soonwon Choi , Mikhail D. Lukin

In this paper, we present a novel control framework to achieve robust push recovery on bipedal robots while locomoting. The key contribution is the unification of hybrid system models of locomotion with a reduced-order model predictive…

Robotics · Computer Science 2025-04-29 Min Dai , Aaron D. Ames

Amphibious legged robots inspired by salamanders are promising in applications in complex amphibious environments. However, despite the significant success of training controllers that achieve diverse locomotion behaviors in conventional…

Robotics · Computer Science 2026-03-18 Mengze Tian , Qiyuan Fu , Chuanfang Ning , Javier Jia Jie Pey , Auke Ijspeert

This paper presents a system for enabling real-time synthesis of whole-body locomotion and manipulation policies for real-world legged robots. Motivated by recent advancements in robot simulation, we leverage the efficient parallelization…

Robotics · Computer Science 2024-09-17 Juan Alvarez-Padilla , John Z. Zhang , Sofia Kwok , John M. Dolan , Zachary Manchester

Humanoid robots have great potential for real-world applications due to their ability to operate in environments built for humans, but their deployment is hindered by the challenge of controlling their underlying high-dimensional nonlinear…

Robotics · Computer Science 2025-02-24 Sergio A. Esteban , Vince Kurtz , Adrian B. Ghansah , Aaron D. Ames

In this study, we present a novel method for enhancing the computational efficiency of whole-body control for humanoid robots, a challenge accentuated by their high degrees of freedom. The reduced-dimension rigid body dynamics of a floating…

Robotics · Computer Science 2024-12-31 Junewhee Ahn , Jaesug Jung , Yisoo Lee , Hokyun Lee , Sami Haddadin , Jaeheung Park

Approximate simulation, an extension of simulation relations from formal methods to continuous systems, is a powerful tool for hierarchical control of complex systems. Finding an approximate simulation relation between the full "concrete"…

Systems and Control · Electrical Eng. & Systems 2020-03-10 Vince Kurtz , Patrick M. Wensing , Hai Lin

Can we enable humanoid robots to generate rich, diverse, and expressive motions in the real world? We propose to learn a whole-body control policy on a human-sized robot to mimic human motions as realistic as possible. To train such a…

Robotics · Computer Science 2024-03-07 Xuxin Cheng , Yandong Ji , Junming Chen , Ruihan Yang , Ge Yang , Xiaolong Wang

In this work, the hierarchical control strategy of template-based control for a bipedal robot is described. The axial force of a compliant leg is redirected to a point, called the virtual pivot point (VPP), of a 2D biped robot, which is…

Robotics · Computer Science 2023-03-23 Minh Nhat Vu
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