Results 31 to 40 of about 185,920 (312)
A Novel Behavioral Strategy for RoboCode Platform Based on Deep Q-Learning
Complexity, 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
Probability-Based Strategy for a Football Multi-Agent Autonomous Robot System
Robotics, 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
Civil liability for damage caused by a robot when performing a medical procedure [PDF]
Zbornik Radova Pravnog Fakulteta u Nišu, 2021 Robots in medicine, unlike industrial automation, can be viewed as an extension or enhancement of human capabilities. The legitimacy of robotics in the health care system stems from the fact that its use increases the efficiency of the treatment process ...
Pichler Davorin, Tomić Dražen
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A distributed and morphology-independent strategy for adaptive locomotion in self-reconfigurable modular robots [PDF]
, 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
Optimization as motion selection principle in robot action [PDF]
Communications 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
Advanced 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
Q-CP: Learning Action Values for Cooperative Planning [PDF]
, 2018 Research on multi-robot systems has demonstrated promising results in manifold applications and domains. Still, efficiently learning an effective robot behaviors is very difficult, due to unstructured scenarios, high uncertainties, and large state ...
Capobianco, Roberto +2 more
core +2 more sources
Investigating the ability to read others’ intentions using humanoid robots
Frontiers in Psychology, 2015 The ability to interact with other people hinges crucially on the possibility to anticipate how their actions would unfold. Recent evidence suggests that a similar skill may be grounded on the fact that we perform an action differently if different ...
Alessandra eSciutti +4 more
doaj +1 more source
The World EconomyAbstractThis 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]
The 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