A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
The Automated Fault-recovery for Four-legged Robots using Parallel Genetic Algorithm
2013
Procedia Computer Science
Preserved Fulltext
This is also one of desirable properties for industrial robots operating remotely in extreme conditions. ...
It is expected that robots could operate autonomously in extreme environments without human intervention. However, it is not a trivial task to design robots robust to all kinds of faults. ...
Acknowledgements This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (2013R1A2A2A01016589, 2010-0018950). ...
doi:10.1016/j.procs.2013.10.039
fatcat:u23mcc6spvekrbzo4uwrflkpi4
Evolutionary robotics in two decades: A review
2015
Sadhana (Bangalore)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
of body and brain and in transforming the evolved robots in physical reality. ...
Principles of biological evolution are applied in the form of evolutionary techniques for solving the complicated problems in the areas of robotic design and control. ...
Fitness function to evolve the robots is taken as the distance moved by the center of mass of a robot in fixed number of simulation cycles. ...
doi:10.1007/s12046-015-0357-7
fatcat:s7kkwrnsxzc75pinbjueukbpkq
Automated synthesis of multiple analog circuits using evolutionary computation for redundancy-based fault-tolerance
2012
Applied Soft Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
robot missions. ...
Evolutionary computation is a natural way to produce multiple redundant solutions because it is a population-based search. ...
Hollinger and Gwaltney also evolved fault-tolerant circuits for controlling robots using a genetic algorithm (GA) [19] . In this work, they evolved a circuit that is robust to component removal. ...
doi:10.1016/j.asoc.2011.12.002
fatcat:wbuoqv2wmfgppbv3ykx7gpjyh4
Evolution of Robot Controller Using Cartesian Genetic Programming
[chapter]
2005
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Here, an integer based version of the representation is applied to a traditional problem in the field: evolving an obstacle avoiding robot controller. ...
The generalisation of the robot controllers in different environments is also demonstrated. ...
In future work we hope to use CGP to control a physical robot, and to perform the entire evolutionary algorithm in hardware. ...
doi:10.1007/978-3-540-31989-4_6
fatcat:fuuoof7ofnfoph4sdeoo7fg3ji
Performance of Incremental Genetic Programming on Adaptability of Snake-like Robot
2013
Procedia Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper we discuss the performance of the proposed Incremental Genetic Programming on the efficiency of evolution of locomotion gaits of simulated snake-like robot (Snakebot). ...
Moreover, evolving the Snakebot in such environments from scratch via canonical genetic programming (GP) is rather inefficient. ...
Acknowledgements I would like to thank the members of Laboratory of Socioinformatics in Doshisha University for their support of this study. ...
doi:10.1016/j.procs.2013.10.038
fatcat:ozmvhqyfond7zo2q67667hn2qa
Trajectory planning of redundant manipulators using genetic algorithms
2009
Communications in nonlinear science & numerical simulation
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Each robot is associated to one population and each string of a population represents a complete robot path. ...
Arakawa et al. [11] proposed a virus-evolutionary genetic algorithm, composed of a host population and a virus population with subpopulations, for the trajectory generation of redundant manipulators without ...
Over successive generations, the population evolves towards an optimal solution. ...
doi:10.1016/j.cnsns.2008.10.014
fatcat:js6tqkrmyzheblp3ehbksce6b4
Redundancy in the control of robots with highly coupled mechanical structures
2005
2005 IEEE/RSJ International Conference on Intelligent Robots and Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
Control strategies for locomotion were evolved using a genetic algorithm in simulation, and the evolved behaviors were compared. ...
This indicated that a considerable degree of redundancy could exist in the control of robots based on highly coupled mechanical structures. ...
A fixed length genetic algorithm was used to evolve the controllers. Each run of the genetic algorithm was conducted for 200 generations, using a population size of 200. ...
doi:10.1109/iros.2005.1545079
dblp:conf/iros/PaulL05
fatcat:ya2g2gakdbasfhjczkgcsi3oae
Embodied Computational Evolution: Feedback Between Development and Evolution in Simulated Biorobots
2021
Frontiers in Robotics and AI
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
To test this hypothesis, populations of simulated embodied biorobots and their developmental systems were evolved under steady directional selection as equivalent rates of random mutation and random transcriptional ...
In each of the 121 different experimental conditions (unique combinations of mutation and transcription error), the same set of 10 randomly created replicate populations of 60 individuals were evolved. ...
, evolving, simulated robots. ...
doi:10.3389/frobt.2021.674823
pmid:34179109
pmcid:PMC8222576
fatcat:77go5ui7svfgrlvhr7rqra2ica
Evolutionary robotics: the Sussex approach
1997
Robotics and Autonomous Systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
directly evolved in hardware. ...
Results are presented from research with evolved controllers for autonomous mobile robots simulated robots, coevolved animats, real robots with software controllers, and a real robot with a controller ...
Several major hurdles have been identi ed: morphogenesis, the design of tness functions, and the role of simulations. The race is still in progress. ...
doi:10.1016/s0921-8890(96)00067-x
fatcat:cxmi7zwnorey3nxigzhrjjvtiy
Explorations in Evolutionary Robotics
1993
Adaptive Behavior
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
To support our claims and proposals, we summarize results from some preliminary simulation experiments in which visually guided robots are evolved to operate in simple environments. ...
These networks may be recurrent and should operate in real time. The evolution should be incremental, using an extended and modified version of a genetic algorithm. ...
The toytown robot was funded by a University of Sussex research and development grant. ...
doi:10.1177/105971239300200104
fatcat:kew52prn4jaclmxp4c77muzmt4
Context-Dependent DNA Coding With Redundancy and Introns
2008
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
The redundancy and intron parts are helpful in preventing useful schemata from disruption and in increasing the population diversity. ...
With the context dependency, the DNA coding methods allow intron parts, redundancy, and variable string length in encoded strings while remaining compatible with the standard genetic operations. ...
The redundancy in DNA coding increases the population diversity. The DNA coding with intron parts displays an even better performance. ...
doi:10.1109/tsmcb.2007.912741
pmid:18348918
fatcat:vcdtoecnhvfcloelaeduusqaxu
Hybrid Taguchi DNA Swarm Intelligence for Optimal Inverse Kinematics Redundancy Resolution of Six-DOF Humanoid Robot Arms
2014
Mathematical Problems in Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper presents a hybrid Taguchi deoxyribonucleic acid (DNA) swarm intelligence for solving the inverse kinematics redundancy problem of six degree-of-freedom (DOF) humanoid robot arms. ...
The inverse kinematics problem of the multi-DOF humanoid robot arm is redundant and has no general closed-form solutions or analytical solutions. ...
These simulations clearly indicate that the proposed Taguchi-based DNA resolves the redundant problem and finds optimal configuration of the six-DOF robot arm. = [ , ] = [0 ∘ 0 ∘ 0 ∘ 0 ∘ 0 ∘ 0 ∘ ] In order ...
doi:10.1155/2014/358269
fatcat:us45gwosv5evnfj6w6q7q7vrcy
Combining Multiple Evolved Analog Circuits for Robust Evolvable Hardware
[chapter]
2009
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Because evolutionary computation refers to a population-based search, multiple, redundant solutions can be maintained. ...
The failure of electronic hardware presents a critical threat to the completion of modern aircraft, spacecraft, and robot missions. ...
Hollinger et al. also evolved fault-tolerant circuits for controlling robots using a genetic algorithm (GA) [3] . ...
doi:10.1007/978-3-642-04394-9_44
fatcat:pe6nrxfc7nbodccjcl4zpummoi
An evolutionary approach for the motion planning of redundant and hyper-redundant manipulators
2009
Nonlinear dynamics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Computer simulations performed based on redundant and hyper-redundant planar manipulators show that, when the end-effector traces a closed path in the workspace, the robot returns to its initial configuration ...
The trajectory planning of redundant robots is an important area of research and efficient opti-mization algorithms are needed. ...
Over successive generations, the population evolves towards an opti-mal solution. ...
doi:10.1007/s11071-009-9584-y
fatcat:vksr5kebk5bwfml42u72rswq3y
Epigenetic Operators and the Evolution of Physically Embodied Robots
2017
Frontiers in Robotics and AI
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In addition, in simulation, EO populations were significantly less fit than populations without it. ...
More generally, results such as these demonstrate the interaction of genetic and EOs during evolution, suggesting the broad importance of including EOs in investigations of evolvability. ...
While small, this population size is larger than that of previous work on evolving physical robots where selection for phototaxis could clearly act in spite of the presence of genetic drift (Long et al ...
doi:10.3389/frobt.2017.00001
fatcat:276oeehcbbahhd3b2tr3npxhgu
« Previous
Showing results 1 — 15 out of 3,035 results