A Deep Reinforcement Learning Approach to Optimal Morphologies Generation in Reconfigurable Tiling Robots

Reconfigurable robots have the potential to perform complex tasks by adapting their morphology to different environments. However, designing optimal morphologies for these robots is challenging due to the large design space and the complex interactions between the robot and the environment. An in-ho...

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Bibliographic Details
Main Authors: Manivannan Kalimuthu, Abdullah Aamir Hayat, Thejus Pathmakumar, Mohan Rajesh Elara, Kristin Lee Wood
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/11/18/3893