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A Variable Stiffness Actuator Module with Favorable Mass Distribution for a Bio-inspired Biped Robot

AuthorsRodriguez-Cianca, D; Weckx, M.; Jiménez-Fabián, R.; Torricelli, D.; Gonzalez-Vargas, J.; Sanchez-Villamañan, Maria del Carmen; Sartori, M.; Berns, K; Vanderborght, B.; Pons Rovira, José Luis CSIC ORCID; Lefeber, D.
Keywordsvariable stiffness actuator
Bio-inspired biped robot
mass distribution
muti-DoFs joints
human-like locomotion
Issue Date2019
PublisherFrontiers Media
CitationFrontiers in Neurorobotics 13 (2019)
AbstractAchieving human-like locomotion with humanoid platforms often requires the use of variable stiffness actuators (VSAs) in multi-degree-of-freedom robotic joints. VSAs possess 2 motors for the control of both stiffness and equilibrium position. Hence, they add mass and mechanical complexity to the design of humanoids. Mass distribution of the legs is an important design parameter, because it can have detrimental effects on the cost of transport. This work presents a novel VSA module, designed to be implemented in a bio-inspired humanoid robot, Binocchio, that houses all components on the same side of the actuated joint. This feature allowed to place the actuator’s mass to more proximal locations with respect to the actuated joint instead of concentrating it at the joint level, creating a more favorable mass distribution in the humanoid. Besides, it also facilitated it’s usage in joints with centralized multi-degree of freedom (DoF) joints instead of cascading single DoF modules. The design of the VSA module is presented, including it’s integration in the multi-DoFs joints of Binocchio. Experiments validated the static characteristics of the VSA module to accurately estimate the output torque and stiffness. The dynamic responses of the driving and stiffening mechanisms are shown. Finally, experiments show the ability of the actuation system to replicate the envisioned human-like kinematic, torque and stiffness profiles for Binocchio.
Publisher version (URL)http://dx.doi.org/10.3389/fnbot.2019.00020
Identifiersdoi: 10.3389/fnbot.2019.00020
issn: 1662-5218
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