Influence Vectors Control for Robots Using Cellular-like Binary Actuators
<|reference_start|>Influence Vectors Control for Robots Using Cellular-like Binary Actuators: Robots using cellular-like redundant binary actuators could outmatch electric-gearmotor robotic systems in terms of reliability, force-to-weight ratio and cost. This paper presents a robust fault tolerant control scheme that is designed to meet the control challenges encountered by such robots, i.e., discrete actuator inputs, complex system modeling and cross-coupling between actuators. In the proposed scheme, a desired vectorial system output, such as a position or a force, is commanded by recruiting actuators based on their influence vectors on the output. No analytical model of the system is needed; influence vectors are identified experimentally by sequentially activating each actuator. For position control tasks, the controller uses a probabilistic approach and a genetic algorithm to determine an optimal combination of actuators to recruit. For motion control tasks, the controller uses a sliding mode approach and independent recruiting decision for each actuator. Experimental results on a four degrees of freedom binary manipulator with twenty actuators confirm the method's effectiveness, and its ability to tolerate massive perturbations and numerous actuator failures.<|reference_end|>
@article{girard2024influence,
    title={Influence Vectors Control for Robots Using Cellular-like Binary
  Actuators},
    author={Alexandre Girard and Jean-S'ebastien Plante},
    journal={IEEE Transactions on Robotics ( Volume: 30, Issue: 3, June 2014)},
    year={2024},
    doi={10.1109/TRO.2013.2296104},
    archivePrefix={arXiv},
    eprint={2407.18140},
    primaryClass={cs.RO}
}