Journal ArticleDOI
Task Allocation Methods for Homogeneous Multi-Robot Systems: Feed Pushing Case Study
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TLDR
The paper describes implementation of behavior based robot team control and two different path planning methods ensuring that the feed pushing work is done properly and outlines suggestions for practical implementations regardless of particular application domain.Abstract:
The paper discuses several options to implement multi-robot systems focusing on coordination and action planning of the system. Particular implementation described in details as a case study presents a solution used in multi-robot system for feed pushing in cattle farm. The paper describes implementation of behavior based robot team control and two different path planning methods ensuring that the feed pushing work is done properly. Conclusions outline suggestions for practical implementations regardless of particular application domain.read more
Citations
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Journal ArticleDOI
A hybrid many-objective competitive swarm optimization algorithm for large-scale multirobot task allocation problem
Fei Xue,Tingting Dong,Tingting Dong,Siqing You,Yan Liu,Hengliang Tang,Lei Chen,Xi Yang,Juntao Li +8 more
TL;DR: A hybrid many-objective competitive swarm optimization (HMaCSO) algorithm is designed, which takes the load capacity of single robot, single picking station, all robots and all picking stations into account and proves the superiority of this approach on benchmark problem.
Journal ArticleDOI
Task allocation for Multi-AUV system: A review
TL;DR: In this article , the authors analyze the existing literature on the models and algorithms of task allocation for multi-AUV system and to provide a macroscopic impression for researchers in this field to improve their algorithms more comprehensively.
Journal ArticleDOI
Long-Term Adaptivity in Distributed Intelligent Systems: Study of ViaBots in a Simulated Environment
TL;DR: This paper proposes a long-term adaptive distributed intelligent systems model which combines an organization theory and multi-agent paradigm—ViaBots and proposes a mechanism for role transition from one agent to another as one of the key elements of long term adaptivity.
Journal ArticleDOI
Integrated Navigation Models of a Mobile Fodder-Pushing Robot Based on a Standardized Cow Husbandry Environment
TL;DR: A novel integrated sensing system with a fuzzy self-adaption Kalman filter and derived models was able to guide real-time robot operations in a modern cow husbandry environment without the need for magnetic tapes.
References
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Journal Article
Rapidly-exploring random trees : a new tool for path planning
TL;DR: The Rapidly-exploring Random Tree (RRT) as discussed by the authors is a data structure designed for path planning problems with high degrees of freedom and non-holonomic constraints, including dynamics.
Journal ArticleDOI
The Viable System Model: Its Provenance, Development, Methodology and Pathology
TL;DR: This paper reflects on the history, nature and present status of the V.S.M., without seeking once again to expound the model in detail or to demonstrate its validity, but does provide a synopsis, present the methodology and confront some highly contentious issues about both the managerial and scientific paradigms.
Journal ArticleDOI
Elastic Strips: A Framework for Motion Generation in Human Environments
Oliver Brock,Oussama Khatib +1 more
TL;DR: The elastic strip framework presented in this paper enables the execution of a previously planned motion in a dynamic environment for robots with many degrees of freedom, and encompasses methods to suspend task behavior when its execution becomes inconsistent with other constraints imposed on the motion.
Proceedings ArticleDOI
Particle RRT for Path Planning with Uncertainty
Nik A. Melchior,Reid Simmons +1 more
TL;DR: A new extension to the rapidly-exploring random tree (RRT) path planning algorithm that explicitly considers uncertainty in its domain, similar to the operation of a particle filter.
Traderbots: a new paradigm for robust and efficient multirobot coordination in dynamic environments
TL;DR: TraderBots is developed, a market-based coordination approach that is inherently distributed, but can also opportunistically form centralized subgroups to improve efficiency.
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