Results 71 to 80 of about 250,524 (275)

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 ...
openaire   +2 more sources

Unlocking the Power of Quercetin‐Encapsulated Mesoporous Bioactive Glass Nanoparticles: A Multifunctional Approach to Bone Regeneration

Advanced Engineering Materials, EarlyView.
Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello, Qaisar Nawaz, Pier Francesco Ferrari, Laura Pastorino, Roberto Raiteri, Aldo R. Boccaccini   +5 more
wiley   +1 more source

Multi-robot system learning based on evolutionary classification

MATEC Web of Conferences, 2016
This paper presents a novel machine learning method for agents of a multi-robot system. The learning process is based on knowledge discovery through continual analysis of robot sensory information.
Manko Sergey, Lokhin Valery, Diane Sekou, Panin Alexander   +3 more
doaj   +1 more source

Transfer of Energy and Momentum Between Magnetoactive Surface Microstructure and a Solid Object

Advanced Engineering Materials, EarlyView.
We demonstrate that magnetoactive multilamellar arrays subjected to a rotating magnetic field can function as platforms for controlled transport of physical objects. Through systematic experimental investigation, we elucidate the underlying physical mechanisms determining the upper limit of the achievable transportation speed in such magnetic “conveyor‐
Arne Geldof, Jan Kopačin, Izidor Straus, Raphael Kriegl, Gaia Kravanja, Luka Hribar, Matija Jezeršek, Mikhail Shamonin, Gašper Kokot, Irena Drevenšek‐Olenik   +9 more
wiley   +1 more source

Path Planning Approaches in Multi‐robot System: A Review

Engineering Reports
The essential factor in developing multi‐robot systems is the generation of an optimal path for task completion by multiple robots. To ensure effective path planning, this paper studies the recent publications and provides a detailed review of the path ...
Semonti Banik, Sajal Chandra Banik, Sarker Safat Mahmud   +2 more
doaj   +1 more source

Application of domestic multi-port robot-assisted surgery system in pancreatic surgery [PDF]

Waike lilun yu shijian
With the development of surgery and technology, robot-assisted pancreatic surgery has gradually become a popular choice for surgeons, and is favored by patients and their families.
LI Jingfeng, SHI Yusheng, DENG Xiaxing, PENG Chenghong, SHEN Baiyong
doaj   +1 more source

A Voronoi Diagram-Based Workspace Partition for Weak Cooperation of Multi-Robot System in Orchard

IEEE Access, 2020
Nowadays, multi-robot systems are being utilized to perform agricultural tasks. It is particularly essential to robotize pesticide spraying because of the risk of poisoning workers. However, the problem is that the human-driven sprayers are big size, and
Jeongeun Kim, Hyoung Il Son
doaj   +1 more source

Sistem Koordinasi dan Kecerdasan Buatan untuk Strategi Bertanding pada Robot Soccer [PDF]

, 2013
This research presents an autonomous control system of multi-agent robot soccer. The control system is used to realize the holonomic movement of 2 agent robot to make their trajectory. A movement of multi-agent robot soccer is based on visualization by a
Chulafaurrosyda, R. (Renita), Rachmawati, E. D. (Ermita), Sulistijono, I. A. (Indra), Widagdo, P. A. (Prabancoro)   +3 more
core  

Multi-Robot Transfer Learning: A Dynamical System Perspective

, 2017
Multi-robot transfer learning allows a robot to use data generated by a second, similar robot to improve its own behavior. The potential advantages are reducing the time of training and the unavoidable risks that exist during the training phase. Transfer
Helwa, Mohamed K., Schoellig, Angela P.
core   +1 more source

3D‐Printed Serial Snap‐Through Architectures for Programmable Mechanical Response

Advanced Engineering Materials, EarlyView.
A serial snap‐through architecture is realized using compact 3D‐printed von Mises truss units arranged in a staged cascade. Their geometry and boundary conditions program multistage mechanical responses with plateaux and re‐hardening regimes. An inverted‐compliance model predicts these behaviors and enables analytical design of programmable force ...
Filipe A. Santos
wiley   +1 more source