Results 41 to 50 of about 184,367 (278)

A distributed and morphology-independent strategy for adaptive locomotion in self-reconfigurable modular robots [PDF]

open access: yes, 2013
In this paper, we present a distributed reinforcement learning strategy for morphology-independent life-long gait learning for modular robots. All modules run identical controllers that locally and independently optimize their action selection based on ...
Christensen, David Johan   +2 more
core   +1 more source

Reinforcement learning based on a mechanism of selecting state space representations in multi-robot systems

open access: yesNihon Kikai Gakkai ronbunshu, 2018
The field of multi-robot systems (MRSs), which deals with groups of autonomous robots, is recently attracting much research interest from robotics. MRSs are expected to achieve their tasks that are difficult to be accomplished by an individual robot.
Kazuaki YAMADA   +2 more
doaj   +1 more source

A Novel Behavioral Strategy for RoboCode Platform Based on Deep Q-Learning

open access: yesComplexity, 2021
This paper addresses a new machine learning-based behavioral strategy using the deep Q-learning algorithm for the RoboCode simulation platform. According to this strategy, a new model is proposed for the RoboCode platform, providing an environment for ...
Hakan Kayakoku   +4 more
doaj   +1 more source

Optimization as motion selection principle in robot action [PDF]

open access: yesCommunications of the ACM, 2015
Robots move to act. While actions operate in a physical space, motions begin in a motor control space. So how do robots express actions in terms of motions?
Laumond, Jean-Paul   +2 more
openaire   +2 more sources

Is there an integrative center in the vertebrate brain-stem? A robotic evaluation of a model of the reticular formation viewed as an action selection device [PDF]

open access: yes, 2005
Neurobehavioral data from intact, decerebrate, and neonatal rats, suggests that the reticular formation provides a brainstem substrate for action selection in the vertebrate central nervous system.
Baerends, G.   +15 more
core   +2 more sources

Probability-Based Strategy for a Football Multi-Agent Autonomous Robot System

open access: yesRobotics, 2023
The strategies of multi-autonomous cooperative robots in a football game can be solved in multiple ways. Still, the most common is the “Skills, Tactics and Plays (STP)” architecture, developed so that robots could easily cooperate based on a group of ...
António Fernando Alcântara Ribeiro   +5 more
doaj   +1 more source

The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning [PDF]

open access: yes, 2014
This is the peer reviewed version of the following article: Frank Broz et al, “The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning”, Topics in Cognitive Science, Vol 6(3): 534-544, June 2014 ...
Asada   +41 more
core   +1 more source

Skeleton‐Guided Action Recognition with Multistream 3D Convolutional Neural Network for Elderly‐Care Robot

open access: yesAdvanced Intelligent Systems, 2023
With the arrival of a global aging society, elderly‐care robots are becoming more and more attractive and can provide better caring services through action recognition. This article presents a skeleton‐guided action recognition framework with multistream
Dawei Zhang, Yanming Zhang, Meng Zhou
doaj   +1 more source

Robots in action

open access: yesThe World Economy
AbstractThis empirical study delves into the intricate factors that shape firms' choices regarding the adoption of robots within the Spanish context. Using a dataset encompassing a diverse set of industries, we employ an empirical analysis to uncover the determinants of robot adoption and investigate the associated outcomes on market variables.
Taraneh Shahin   +2 more
openaire   +2 more sources

Action representations in robotics: A taxonomy and systematic classification [PDF]

open access: yesThe International Journal of Robotics Research, 2019
Understanding and defining the meaning of “action” is substantial for robotics research. This becomes utterly evident when aiming at equipping autonomous robots with robust manipulation skills for action execution. Unfortunately, to this day we still lack both a clear understanding of the concept of an action and a set of established criteria that ...
Zech, Philipp   +4 more
openaire   +3 more sources

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