Results 51 to 60 of about 11,919,162 (297)
Learning in multi-robot systems
, 1996 This paper discusses why traditional reinforcement learning methods often result in poor performance in dynamic, situated multiagent domains characterized by multiple goals, noisy perception and action, and inconsistent reinforcement. We propose a methodology for designing the representation and the forcement functions that take advantage of implicit ...
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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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FEBS Open Bio, EarlyView.The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
MachinesIn this paper, an adaptive and resilient consensus control mechanism for multi-robot systems under Byzantine attack, based on sliding mode control, is proposed. The primary aim of the article is to develop a finite-time consensus control strategy even in
Muhammad Nasir, Ananda Maiti
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Robotic Systems of Systems Based on a Decentralized Service-Oriented Architecture
Robotics, 2020 Multi-robot systems are often static and pre-configured during the design time of their software. Emerging cooperation between unknown robots is still rare and limited.
Lennart Siefke +3 more
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Exploring Robot Connectivity and Collaborative Sensing in a High-School Enrichment Program
Robotics, 2021 Education is facing challenges to keep pace with the widespread introduction of robots and digital technologies in industry and everyday life. These challenges necessitate new approaches to impart students at all levels of education with the knowledge of
Igor M. Verner +2 more
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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
Towards an Architecture for Semiautonomous Robot Telecontrol Systems. [PDF]
, 2009 The design and development of a computational system to support robot–operator collaboration is a challenging task, not only because of the overall system complexity, but furthermore because of the involvement of different technical and scientific ...
Triviño Barros, Gracián +2 more
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Journal of King Saud University: Computer and Information SciencesMulti-robot coverage path planning (MCPP) has gained increasing attention in agricultural automation. In various agricultural applications, employing heterogeneous multi-robot systems to perform coverage tasks better aligns with complex task requirements.
Lin Li +3 more
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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
wiley +1 more source