Results 91 to 100 of about 239,102 (291)
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
doaj +1 more source
A Novel Simple Two-Robot Precise Self-Localization Method
IEEE Access, 2019 This paper presents a novel two-robot collaboration method for precise 2D self-localization using relatively simple sensors. The main advantage of this method lies in its ability to precisely measure the orientations of the robots, therefore reducing ...
Dana Erez, Shai Arogeti, David Zarrouk
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Applied SciencesCooperative exploration of unknown environments in multi-robot systems poses significant challenges, particularly in terms of efficiency and redundancy.
Dicheng Shen +5 more
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Perancangan Sistem Komunikasi Multi-Robot Menggunakan XBee [PDF]
, 2012 -- In this decade the study of multi-robot systems have been popular because it is able to reduce processing time, cost and complexity of the system.
Jakarta, A. A. (Andi)
core
Sensor networks security based on sensitive robots agents. A conceptual model
, 2012 Multi-agent systems are currently applied to solve complex problems. The security of networks is an eloquent example of a complex and difficult problem. A new model-concept Hybrid Sensitive Robot Metaheuristic for Intrusion Detection is introduced in the
B. Kim +11 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
Q-Learning Based Failure Detection and Self-Recovery Algorithm for Multi-Robot Domains
Elektronika ir Elektrotechnika, 2019 Task allocation is the essential part of multi-robot coordination researches and it plays a significant role to achieve desired system performance. Uncertainties in multi-robot systems’ working environment due to nature of them are the major hurdle for ...
Hatice Hilal Ezercan Kayir
doaj +3 more sources
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation [PDF]
, 2018 Research on reinforcement learning has demonstrated promising results in manifold applications and domains. Still, efficiently learning effective robot behaviors is very difficult, due to unstructured scenarios, high uncertainties, and large state ...
Capobianco, Roberto +2 more
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Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning
, 2018 Developing a safe and efficient collision avoidance policy for multiple robots is challenging in the decentralized scenarios where each robot generate its paths without observing other robots' states and intents.
Fan, Tingxiang +5 more
core +1 more source