Results 41 to 50 of about 18,961 (197)

Magnetic Robotics: A Biologically Inspired Walking Robot

open access: yesJournal of the Magnetics Society of Japan, 2011
In this paper, we introduce a biologically inspired walking robot and its biomimetic mechanism. The proposed magnetic robot is driven by a rotating magnetic field. The magnetic musculoskeletal structure (MMS) of the actuator produces magnetic torque within the rotating magnetic field.
S.H Kim, S. Hashi, K. Ishiyama
openaire   +1 more source

Self-Organization, Embodiment, and Biologically Inspired Robotics [PDF]

open access: yesScience, 2007
Robotics researchers increasingly agree that ideas from biology and self-organization can strongly benefit the design of autonomous robots. Biological organisms have evolved to perform and survive in a world characterized by rapid changes, high uncertainty, indefinite richness, and limited availability of information.
Rolf, Pfeifer   +2 more
openaire   +2 more sources

A Novel Approach for Target Attraction and Obstacle Avoidance of a Mobile Robot in Unknown Environments Using a Customized Spiking Neural Network

open access: yesApplied Sciences, 2023
In recent years, implementing reinforcement learning in autonomous mobile robots (AMRs) has become challenging. Traditional methods face complex trials, long convergence times, and high computational requirements.
Brwa Abdulrahman Abubaker   +2 more
doaj   +1 more source

Towards Attentive Robots

open access: yesPaladyn, 2011
This paper introduces Atentive Robots: robots that attend to the parts of their sensory input that are currently of most potential interest. The concept of selecting the most promising parts is adopted from human perception where selective attention ...
Frintrop Simone
doaj   +1 more source

Work in progress: a novel method of creating an academic content repository [PDF]

open access: yes, 2009
This paper outlines a project aimed at addressing the issue of the scalability of online academic support. This project is being run during the Autumn semester at the University of Southern Queensland (USQ) Toowoomba Australia, in conjunction with the ...
Ayers, Ron   +5 more
core   +1 more source

Neurobiologically inspired mobile robot navigation and planning

open access: yesFrontiers in Neurorobotics, 2007
After a short review of biologically inspired navigation architectures, mainly relying on modeling the hippocampal anatomy, or at least some of its functions, we present a navigation and planning model for mobile robots.
Mathias Quoy, Philippe Gaussier
doaj   +1 more source

Efficient Navigation of Colloidal Robots in an Unknown Environment via Deep Reinforcement Learning

open access: yesAdvanced Intelligent Systems, 2020
Equipping micro‐/nanoscale colloidal robots with artificial intelligence (AI) such that they can efficiently navigate in unknown complex environments can dramatically impact their use in emerging applications such as precision surgery and targeted ...
Yuguang Yang, Michael A. Bevan, Bo Li
doaj   +1 more source

insideOut: A Bio-Inspired Machine Learning Approach to Estimating Posture in Robots Driven by Compliant Tendons

open access: yesFrontiers in Neurorobotics, 2021
Estimates of limb posture are critical for controlling robotic systems. This is generally accomplished with angle sensors at individual joints that simplify control but can complicate mechanical design and robustness.
Daniel A. Hagen   +6 more
doaj   +1 more source

Asynchronous displays for multi-UV search tasks [PDF]

open access: yes, 2012
Synchronous video has long been the preferred mode for controlling remote robots with other modes such as asynchronous control only used when unavoidable as in the case of interplanetary robotics.
Carpin S.   +7 more
core   +2 more sources

Biologically Inspired Vision for Human-Robot Interaction [PDF]

open access: yes, 2015
Human-robot interaction is an interdisciplinary research area that is becoming more and more relevant as robots start to enter our homes, workplaces, schools, etc. In order to navigate safely among us, robots must be able to understand human behavior, to communicate, and to interpret instructions from humans, either by recognizing their speech or by ...
Saleiro, Mario   +5 more
openaire   +2 more sources

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