Energy Efficiency and Force Transmission Optimization in Modular Robotic Arm Design Configuration

This review article consolidates the latest developments in energy optimization and force transmission strategies in modular robotic arms, focusing on the problems of excessive energy use and low accuracy. These problems are alleviated by thoroughly examining existing strategies, including applying materials with low density, adaptive energy allocation, and sophisticated actuator systems. Proposed solutions include modular architectures with dynamic reconfiguration for energy minimization and AI-powered predictive algorithms for power usage optimization. The proposed solutions are supported by quantitative evidence demonstrating substantial energy savings alongside enhanced performance. Future research focuses on the need for consistent assessment benchmarks and investigation into more advanced technologies. In this review, we attempt to highlight the advancements in the modular robotics ecosystem while concentrating on exceptions for industrial automation when developing the robotics systems noticed the need for ecofriendly sustainable energy resources.