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The motivation of our current research is to devise motion planners for legged locomotion that are able to exploit the robot's actuation capabilities. This means, when possible, to minimize joint torques or to propel as much as admissible…

During locomotion, legged robots interact with the ground by sequentially establishing and breaking contact. The interaction wrenches that arise from contact are used to steer the robot Center of Mass (CoM) and reject perturbations that…

Many recent human-robot collaboration strategies, such as Assist-As-Needed (AAN), are promoting humancentered robot control, where the robot continuously adapts its assistance level based on the real-time need of its human counterpart. One…

Robotics · Computer Science 2021-10-14 Antun Skuric , Vincent Padois , Nasser Rezzoug , David Daney

In this work, we present an extension to a linear Model Predictive Control (MPC) scheme that plans external contact forces for the robot when given multiple contact locations and their corresponding friction cone. To this end, we set up a…

Robotics · Computer Science 2021-08-18 Sean Mason , Nicholas Rotella , Stefan Schaal , Ludovic Righetti

A hierarchical control architecture is presented for energy-efficient control of legged robots subject to variety of linear/nonlinear inequality constraints such as Coulomb friction cones, switching unilateral contacts, actuator saturation…

Systems and Control · Electrical Eng. & Systems 2022-08-05 Farhad Aghili

Humanoid robots locomote by making and breaking contacts with their environment. A crucial problem is therefore to find precise criteria for a given contact to remain stable or to break. For rigid surface contacts, the most general…

Robotics · Computer Science 2015-01-21 Stéphane Caron , Quang-Cuong Pham , Yoshihiko Nakamura

Developing feasible body trajectories for legged systems on arbitrary terrains is a challenging task. In this paper, we present a paradigm that allows to design feasible Center of Mass (CoM) and body trajectories in an efficient manner. In…

Robotics · Computer Science 2023-06-01 Abdelrahman Abdallah , Michele Focchi , Romeo Orsolino , Claudio Semini

In legged locomotion the projection of the robot Center of Mass (CoM) being inside the convex hull of the contact points is a commonly accepted sufficient condition to achieve static balancing. However, some of these configurations cannot…

In unknown cluttered environments with densely stacked objects, the free-motion space is extremely barren, posing significant challenges to motion planners. Collision-free planning methods often suffer from catastrophic failures due to…

Robotics · Computer Science 2026-03-24 Chengjin Wang , Yanmin Zhou , Zheng Yan , Feng Luan , Runjie Shen , Hongrui Sang , Zhipeng Wang , Bin He

Most existing methods for motion planning of mobile robots involve generating collision-free trajectories. However, these methods focusing solely on contact avoidance may limit the robots' locomotion and can not be applied to tasks where…

Robotics · Computer Science 2025-02-06 Haokun Wang , Qianhao Wang , Fei Gao , Shaojie Shen

Legged robot locomotion requires the planning of stable reference trajectories, especially while traversing uneven terrain. The proposed trajectory optimization framework is capable of generating dynamically stable base and footstep…

Robotics · Computer Science 2021-03-24 Oguzhan Cebe , Carlo Tiseo , Guiyang Xin , Hsiu-chin Lin , Joshua Smith , Michael Mistry

This paper uses a mobile manipulator with a collaborative robotic arm to manipulate objects beyond the robot's maximum payload. It proposes a single-shot probabilistic roadmap-based method to plan and optimize manipulation motion with…

Robotics · Computer Science 2023-02-28 Kento Nakatsuru , Weiwei Wan , Kensuke Harada

Despite the great progress in quadrupedal robotics during the last decade, selecting good contacts (footholds) in highly uneven and cluttered environments still remains an open challenge. This paper builds upon a state-of-the-art approach,…

Robotics · Computer Science 2019-04-18 Mathieu Geisert , Thomas Yates , Asil Orgen , Pierre Fernbach , Ioannis Havoutis

The deployment of robotic systems in real world environments requires the ability to quickly produce paths through cluttered, non-convex spaces. These planned trajectories must be both kinematically feasible (i.e., collision free) and…

Robotics · Computer Science 2024-11-21 Noel Csomay-Shanklin , William D. Compton , Aaron D. Ames

Simplified models are useful to increase the computational efficiency of a motion planning algorithm, but their lack of accuracy have to be managed. We propose two feasibility constraints to be included in a Single Rigid Body Dynamicsbased…

This paper aims to develop a hierarchical nonlinear control algorithm, based on model predictive control (MPC), quadratic programming (QP), and virtual constraints, to generate and stabilize locomotion patterns in a real-time manner for…

Robotics · Computer Science 2020-04-16 Kaveh Akbari Hamed , Jeeseop Kim , Abhishek Pandala

A key challenge to ensuring the rapid transition of robotic systems from the industrial sector to more ubiquitous applications is the development of algorithms that can guarantee safe operation while in close proximity to humans. Motion…

Robotics · Computer Science 2023-09-07 Zachary Brei , Jonathan Michaux , Bohao Zhang , Patrick Holmes , Ram Vasudevan

Floating-base multi-link robots can change their shape during flight, making them well-suited for applications in confined environments such as autonomous inspection and search and rescue. However, trajectory planning for such systems…

Robotics · Computer Science 2026-04-07 Yicheng Chen , Jinjie Li , Haokun Liu , Zicheng Luo , Kotaro Kaneko , Moju Zhao

Humanoid robots maintain balance and navigate by controlling the contact wrenches applied to the environment. While it is possible to plan dynamically-feasible motion that applies appropriate wrenches using existing methods, a humanoid may…

Robotics · Computer Science 2020-01-22 Yu-Chi Lin , Ludovic Righetti , Dmitry Berenson

The physical interaction of aerial robots with their environment has countless potential applications and is an emerging area with many open challenges. Fully-actuated multirotors have been introduced to tackle some of these challenges.…

Robotics · Computer Science 2022-07-08 Azarakhsh Keipour
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