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We address multi-robot geometric task-and-motion planning (MR-GTAMP) problems in synchronous, monotone setups. The goal of the MR-GTAMP problem is to move objects with multiple robots to goal regions in the presence of other movable…

In this paper, a kinematic motion planning algorithm for cooperative spatial payload manipulation is presented. A hierarchical approach is introduced to compute real-time collision-free motion plans for a formation of mobile manipulator…

Many works in collaborative robotics and human-robot interaction focuses on identifying and predicting human behaviour while considering the information about the robot itself as given. This can be the case when sensors and the robot are…

Humans show specialized strategies for efficient collaboration. Transferring similar strategies to humanoid robots can improve their capability to interact with other agents, leading the way to complex collaborative scenarios with multiple…

Transportation missions in aerospace are limited to the capability of each aerospace robot and the properties of the target transported object, such as mass, inertia, and grasping locations. We present a novel decentralized adaptive…

机器人学 · 计算机科学 2024-09-04 Longsen Gao , Kevin Aubert , David Saldana , Claus Danielson , Rafael Fierro

This paper presents a real-time trajectory planning scheme for a heterogeneous multi-robot system (consisting of a quadrotor and a ground mobile robot) for a cooperative landing task, where the landing position, landing time, and…

机器人学 · 计算机科学 2025-12-10 Jingshan Chen , Lihan Xu , Henrik Ebel , Peter Eberhard

This paper presents a scheme to enhance payload manipulation using a robot collaborating with an overhead crane. In the current industrial practice, when the crane's payload has to be accurately manipulated and located in a desired…

机器人学 · 计算机科学 2025-08-12 Antonio Rosales , Alaa Abderrahim , Markku Suomalainen , Mikael Haag , Tapio Heikkilä

Quadruped robots manifest great potential to traverse rough terrains with payload. Numerous traditional control methods for legged dynamic locomotion are model-based and exhibit high sensitivity to model uncertainties and payload…

机器人学 · 计算机科学 2022-02-04 Bingchen Jin , Yueheng Zhou , Ye Zhao , Ming Liu , Chaoyang Song , Jianwen Luo

This work addresses the coordination problem of multiple robots with the goal of finding specific hazardous targets in an unknown area and dealing with them cooperatively. The desired behaviour for the robotic system entails multiple…

机器人学 · 计算机科学 2019-03-29 Nunzia Palmieri , Xin-She Yang , Floriano De Rango , Amilcare Francesco Santamaria

For a team of robots to work collaboratively, it is crucial that each robot have the ability to determine the position of their neighbors, relative to themselves, in order to execute tasks autonomously. This letter presents an algorithm for…

机器人学 · 计算机科学 2021-04-23 Charles C. Cossette , Mohammed Shalaby , David Saussié , James R. Forbes , Jérôme Le Ny

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…

机器人学 · 计算机科学 2023-02-28 Kento Nakatsuru , Weiwei Wan , Kensuke Harada

We address load-parameter estimation in cooperative aerial transport with time-varying mass and inertia, as in fluid-carrying payloads. Using an intrinsic manifold model of the multi-quadrotor-load dynamics, we combine a geometric tracking…

系统与控制 · 电气工程与系统科学 2026-03-02 Jacob Goodman , Leonardo Colombo , Juan Giribet

We study a human-robot collaborative transportation task in presence of obstacles. The task for each agent is to carry a rigid object to a common target position, while safely avoiding obstacles and satisfying the compliance and actuation…

机器人学 · 计算机科学 2022-07-14 Tony Zheng , Monimoy Bujarbaruah , Yvonne R. Stürz , Francesco Borrelli

In order to enable physical human-robot interaction where humans and (mobile) manipulators share their workspace and work together, robots have to be equipped with important capabilities to guarantee human safety. The robots have to…

机器人学 · 计算机科学 2020-06-03 Christian Frese , Angelika Zube , Christian Frey

Multi-robot teams have attracted attention from industry and academia for their ability to perform collaborative tasks in unstructured environments, such as wilderness rescue and collaborative transportation.In this paper, we propose a…

机器人学 · 计算机科学 2023-11-14 Liuao Pei , Junxiao Lin , Zhichao Han , Lun Quan , Yanjun Cao , Chao Xu , Fei Gao

This chapter is about the fundamentals of fabrication, control, and human-robot interaction of a new type of collaborative robotic manipulators, called malleable robots, which are based on adjustable architectures of varying stiffness for…

机器人学 · 计算机科学 2025-02-07 Angus B. Clark , Xinran Wang , Alex Ranne , Nicolas Rojas

This work presents approaches for the estimation of quantities important for the control of the momentum of a humanoid robot. In contrast to previous approaches which use simplified models such as the Linear Inverted Pendulum Model, we…

机器人学 · 计算机科学 2016-11-18 Nicholas Rotella , Alexander Herzog , Stefan Schaal , Ludovic Righetti

Multirotors can be effectively applied to various tasks, such as transportation, investigation, exploration, and lifesaving, depending on the type of payload. However, due to the nature of multirotors, the payload loaded on the multirotor…

机器人学 · 计算机科学 2021-08-17 Chanyoung Kim , Hyungyu Lee , Myeongwoo Jeong , Hyun Myung

Manipulation is a key capability in domestic service robots, as can be seen in the rulebooks of last Robocup@Home editions. Currently, object recognition is performed based mostly on visual information. Some robots use also 3D information…

机器人学 · 计算机科学 2020-10-14 Marco Negrete , Jesús Savage , José Avendaño

Achieving cooperative transportation by aerial robot teams ensures flexibility regarding payloads and robustness against failures, which has garnered significant attention in recent years. This study proposes a flexible decentralized…

机器人学 · 计算机科学 2025-05-07 Koshi Oishi , Yasushi Amano , Jimbo Tomohiko