Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges

Xu, An; Wu, Celimuge; Lin, Yangfei; Lin, Min; Yoshinaga, Tsutomu; Ji, Yusheng

doi:10.1109/ojcs.2023.3238324

Cited by 30 publications

(4 citation statements)

References 98 publications

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“…In [ 125 ], attempts were made to operate autonomous robots in certain environments dangerous for users, such as those with low oxygen, explosion hazards, extremely high pressures, or even temperatures unfavorable to human life, all of which are classified as harsh environments for humans. These harsh environments can also be considered as challenging for individuals in terms of environmental unfamiliarity, dynamics, disorder, or very limited visibility.…”

Section: Research Challengesmentioning

confidence: 99%

Autonomous Robots for Services—State of the Art, Challenges, and Research Areas

Misaros

Stan

Donca

et al. 2023

Sensors

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It has been almost half a century since the first interest in autonomous robots was shown, and research is still continuing to improve their ability to make perfectly conscious decisions from a user safety point of view. These autonomous robots are now at a fairly advanced level, which means that their adoption rate in social environments is also increasing. This article reviews the current state of development of this technology and highlights the evolution of interest in it. We analyze and discuss specific areas of its use, for example, its functionality and current level of development. Finally, challenges related to the current level of research and new methods that are still being developed for the wider adoption of these autonomous robots are highlighted.

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Section: Research Challengesmentioning

confidence: 99%

Autonomous Robots for Services—State of the Art, Challenges, and Research Areas

Misaros

Stan

Donca

et al. 2023

Sensors

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“…Manipulating objects with mobile robots has received a lot of attention recently. A substantial potential application is for object transportation [10]. However, existing challenges include but are not limited to mechanical design, planning algorithms, control strategies, etc.…”

Section: Related Workmentioning

confidence: 99%

A divide-and-conquer control strategy with decentralized control barrier function for luggage trolley transportation by collaborative robots

Gao,

Luan,

Xia

et al. 2023

Robotica

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This article focuses on the luggage trolley transportation problem, an essential part of robotic autonomous luggage trolley collection. To efficiently address the nonholonomic constraints derived from the formation of two collaborative robots and a queue of luggage trolleys, we propose a comprehensive framework consisting of a global planning method and a real-time divide-and-conquer control strategy. The popular Hybrid A* algorithm generates a feasible path as the global planner. A model predictive controller is designed to track this path stably and in real time. To maintain the formation so that the whole queue of robots and luggage trolleys does not split, a safety filter that consists of a discrete-time control Lyapunov function and a decentralized control barrier function is implemented in the transportation process. Finally, we conduct real-world experiments to verify the effectiveness of the proposed method on three representative paths, and the results show that our approach can achieve robust performance. The demonstration video can be found at https://www.youtube.com/watch?v=iPiT8BfLIpU.

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“…Here, multisensor fusion augments SLAM-based path planning by amalgamating data from a spectrum of sensors like visual cameras, inertial sensors, and sometimes even tactile sensors. This enriched perception allows robots to perform diverse tasks such as inventory management in warehouses, environmental monitoring in hazardous zones, and search-and-rescue missions in unstructured terrains (An et al, 2023).…”

Section: Roboticsmentioning

confidence: 99%

Intelligent Systems in Motion

Cai,

Qin,

et al. 2023

International Journal on Semantic Web and Information Systems

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Simultaneous localization and mapping (SLAM) serves as a cornerstone in autonomous systems and has seen exponential growth in its roles, particularly in facilitating advanced path planning solutions. One emerging avenue of research that is rapidly evolving is the incorporation of multi-sensor fusion techniques to enhance SLAM-based path planning. The paper initiates with a thorough review of various sensor types and their attributes before covering a broad spectrum of both traditional and contemporary algorithms for multi-sensor fusion within SLAM. Performance evaluation metrics pertinent to SLAM and sensor fusion are explored. A special focus is laid on the interconnected roles and applications of multi-sensor fusion in SLAM-based path planning, discussing its significance in navigation scenarios as well as addressing challenges such as computational burden and real-time implementation. This paper sets the stage for future developments in creating more robust, resilient, and efficient SLAM-based path planning systems enabled by multi-sensor fusion.

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Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges

Cited by 30 publications

References 98 publications

Autonomous Robots for Services—State of the Art, Challenges, and Research Areas

Autonomous Robots for Services—State of the Art, Challenges, and Research Areas

A divide-and-conquer control strategy with decentralized control barrier function for luggage trolley transportation by collaborative robots

Intelligent Systems in Motion

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