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Cooperative transportation via multiple aerial robots has the potential to support various payloads and reduce the chances of them being dropped. Furthermore, autonomously controlled robots render the system scalable with respect to the…

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

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

Cooperative transport is a striking phenomenon where multiple agents join forces to transit a payload too heavy for the individual. While social animals such as ants are routinely observed to coordinate transport at scale, reproducing the…

Robotic collaborative carrying could greatly benefit human activities like warehouse and construction site management. However, coordinating the simultaneous motion of multiple robots represents a significant challenge. Existing works…

机器人学 · 计算机科学 2026-03-25 Francesca Bray , Simone Tolomei , Andrei Cramariuc , Cesar Cadena , Marco Hutter

Object transportation could be a challenging problem for a single robot due to the oversize and/or overweight issues. A multi-robot system can take the advantage of increased driving power and more flexible configuration to solve such a…

机器人学 · 计算机科学 2020-07-21 Lin Zhang , Hao Xiong , Ou Ma , Zhaokui Wang

We propose a decentralized algorithm to collaboratively transport arbitrarily shaped objects using a swarm of robots. Our approach starts with a task allocation phase that sequentially distributes locations around the object to be…

机器人学 · 计算机科学 2021-06-08 Vivek Shankar Vardharajan , Karthik Soma , Giovanni Beltrame

Utilizing teams of multiple robots is advantageous for handling bulky objects. Many related works focus on multi-manipulator systems, which are limited by workspace constraints. In this paper, we extend a classical hybrid motion-force…

机器人学 · 计算机科学 2025-10-02 Shengzhi Wang , Niels Dehio , Xuanqi Zeng , Xian Yang , Lingwei Zhang , Yun-Hui Liu , K. W. Samuel Au

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

Collaborative transportation, where multiple robots collaboratively transport a payload, has garnered significant attention in recent years. While ensuring safe and high-performance inter-robot collaboration is critical for effective task…

机器人学 · 计算机科学 2026-02-19 Zhezhi Lei , Zhihai Bi , Wenxin Wang , Jun Ma

Despite the potential benefits of collaborative robots, effective manipulation tasks with quadruped robots remain difficult to realize. In this paper, we propose a hierarchical control system that can handle real-world collaborative…

机器人学 · 计算机科学 2023-08-01 Mohsen Sombolestan , Quan Nguyen

This paper addresses the problem of cooperative transportation of an object rigidly grasped by N robotic agents. We propose a Nonlinear Model Predictive Control (NMPC) scheme that guarantees the navigation of the object to a desired pose in…

机器人学 · 计算机科学 2018-03-22 Christos K. Verginis , Alexandros Nikou , Dimos V. Dimarogonas

We propose a combined method for the collaborative transportation of a suspended payload by a team of rotorcraft. A recent distance-based formation-motion control algorithm based on assigning distance disagreements among robots generates…

机器人学 · 计算机科学 2019-02-04 Hector Garcia de Marina , Ewoud Smeur

Cooperative transportation by multi-aerial robots has the potential to support various payloads and improve failsafe against dropping. Furthermore, changing the attachment positions of robots according payload characteristics increases the…

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

This paper proposes a task-space control protocol for the collaborative manipulation of a single object by N robotic agents. The proposed methodology is decentralized in the sense that each agent utilizes information associated with its own…

机器人学 · 计算机科学 2017-04-10 Christos K. Verginis , Matteo Mastellaro , Dimos V. Dimarogonas

Payload transport over flat terrain via multi-wheel robot carriers is well-understood, highly effective, and configurable. In this paper, our goal is to provide similar effectiveness and configurability for transport over rough terrain that…

In this paper, we present the design and implementation of a robust motion formation distributed control algorithm for a team of mobile robots. The primary task for the team is to form a geometric shape, which can be freely translated and…

机器人学 · 计算机科学 2018-09-21 Hector Garcia de Marina , Johan Siemonsma , Bayu Jayawardhana , Ming Cao

In this work, we introduce an adaptive control framework for human-robot collaborative transportation of objects with unknown deformation behaviour. The proposed framework takes as input the haptic information transmitted through the…

机器人学 · 计算机科学 2022-07-22 Doganay Sirintuna , Alberto Giammarino , Arash Ajoudani

Human-robot interaction will play an essential role in various industries and daily tasks, enabling robots to effectively collaborate with humans and reduce their physical workload. Most of the existing approaches for physical human-robot…

机器人学 · 计算机科学 2024-12-04 Guanrui Li , Xinyang Liu , Giuseppe Loianno

This paper investigates the control problem of steering a group of spherical mobile robots to cooperatively transport a spherical object. By controlling the movements of the robots to exert appropriate contact (pushing) forces, it is…

系统与控制 · 电气工程与系统科学 2025-12-16 Si Wu , Zhengyan Qin , Tengfei Liu , Zhong-Ping Jiang

Generalizing decentralized multi-robot cooperative transport across objects with diverse shapes and physical properties remains a fundamental challenge. Under decentralized execution, two key challenges arise: object-dependent…

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