Results 31 to 40 of about 28,017 (258)
IEEE Access, 2023 With the increasing use of robots in industry, the use of multi-robot systems, i.e., systems in which multiple robots work together to perform a single task, has become common.
Tae In Ha, Ji-Hoon Lee, Byung-Kwon Min
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Task allocation and path planning for multi-robot systems in intelligent warehousing
Xibei Gongye Daxue XuebaoFaced with today's increasingly complex market demands, traditional manual warehouse systems are becoming inadequate, necessitating the urgent intelligent transformation and upgrading of warehouse systems.
CHU Jing, TIAN Yiqiu, YUE Qi, HUANG Yong
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Statistical Robotics: Controlling Multi Robot Systems Using Statistical-Physics
IEEE AccessIn a multi-robot system consisting of numerous agents, it may be impractical to individually identify each agent. Consequently, issuing specific commands to each agent might not be feasible.
Nir Shvalb, Shlomi Hacohen, Oded Medina
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Deep reinforcement learning path planning and task allocation for multi-robot collaboration
Alexandria Engineering JournalIn the current technological landscape, Multi-Robot Systems (MRS) have become crucial for complex tasks, with applications in industrial automation, search and rescue, and intelligent transportation.
Zhixian Li +3 more
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Molecular Oncology, EarlyView.This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan +8 more
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Consensus in networked multi-robot systems via local state feedback robust control
International Journal of Advanced Robotic Systems, 2019 In the article, the consensus problem is considered for networked multi-robot systems, in which the dynamical equation of all robots is non-holonomic and nonlinear systems.
Shijie Zhang, Yi Cao
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Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
On the Intersection of Computational Geometry Algorithms with Mobile Robot Path Planning
Algorithms, 2023 In the mathematical discipline of computational geometry (CG), practical algorithms for resolving geometric input and output issues are designed, analyzed, and put into practice.
Ehsan Latif, Ramviyas Parasuraman
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A Multi-Robotic System for Environmental Cleaning
CoRR, 2018 There is a lot of waste in an industrial environment that could cause harmful effects to both the products and the workers resulting in product defects, itchy eyes or chronic obstructive pulmonary disease, etc. While automative cleaning robots could be used, the environment is often too big for one robot to clean alone in addition to the fact that it ...
Chuong Le, Huy Xuan Pham, Hung Manh La
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MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
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