Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news reporting originating from Elsene, Belgium, by NewsRx correspondents, research stated, “The increasing number of robots and th e rising cost of electricity have spurred research into energy-reducing concepts in robotics.” Our news journalists obtained a quote from the research from Vrije Universiteit Brussel (VUB): “One such concept, elastic actuation, introduces compliant elemen ts such as springs into the robot structure. This article presents a comparative analysis between two types of elastic actuation, namely, monoarticular parallel elastic actuation and biarticular parallel elastic actuation, and demonstrates an end-to-end pipeline for their optimization. Starting from the real-world syst em identification of an RRR robotic arm, we calibrate a simulation model in a ge neral-purpose physics engine and employ in silico evolutionary optimization to c o-optimize spring configurations and trajectories for a pick-and-place task. Fin ally, we successfully transfer the in silico optimized elastic elements and traj ectory to the real-world prototype. Our results substantiate the ability of elas tic actuation to reduce the actuators’ torque requirements heavily. In contrast to previous work, we highlight the superior performance of the biarticular varia nt over the monoarticular configuration.”
NETL
NSTL