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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 6, 2024.
Abstract: With the continuous advancement of automation and intelligent technology, the application of robots in environmental interaction and delivery tasks has become increasingly important. A new noise network and advantage function were constructed. An asynchronous update mechanism was adopted to enhance the exploration ability and learning efficiency of A3C. Simulation tests were conducted on classic control tasks on the Gym platform and in complex Atari game environments. Experimental verification was conducted in actual robot grasping tasks to evaluate the proposed method's performance. The improved A3C reduced training steps by 14.4% in the "CartPole-v0" task, improved scores by 31.9% in the "BreakoutNoFrameskip-v4" game, and increased scores by 7.74% in the "PongNoFrameskip-v4" game. In actual testing, the position error was controlled at the pixel level, proving the algorithmic accuracy in delivery tasks. This study provides new technological support for the advancement of robotics technology.
Jitang Xu and Qiang Chen, “Optimization of Robot Environment Interaction Based on Asynchronous Advantage Actor-Critic Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 15(6), 2024. http://dx.doi.org/10.14569/IJACSA.2024.01506136
@article{Xu2024,
title = {Optimization of Robot Environment Interaction Based on Asynchronous Advantage Actor-Critic Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01506136},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01506136},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {6},
author = {Jitang Xu and Qiang Chen}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.