Optimal Actuator

Optimal actuator design focuses on creating actuators that maximize performance within given constraints, such as force, speed, energy efficiency, or controllability. Current research emphasizes using optimization algorithms, often coupled with surrogate models like neural networks or simplified kinematic approximations, to efficiently explore the vast design space and identify optimal parameters. This work is significant for advancing robotics, particularly in areas like soft robotics and legged locomotion, where efficient and adaptable actuation is crucial for achieving complex tasks. The development of user-friendly toolboxes and frameworks further accelerates the design process and broadens accessibility within the field.