IEEE Transactions on Robotics · 2011 · 313 citations · 29 references
EngineeringMechanical EngineeringRobotics EngineeringActuatorsRoboticsSoft RoboticsActuator DesignFabrication Of Soft RobotsSoft ActuatorsSoft LocomotionSoft MaterialsSoft Robot DesignAutomated Design Space ExplorationAutomatic Robot DesignEvolutionary AlgorithmsLocomotionMultimaterial FabricationSoft Actuator MaterialsSoft Robot LocomotionSoft Robotic Locomotion
Recent multimaterial fabrication advances enable continuous shapes to be produced with high fidelity, free from spatial constraints and homogeneous material limits. The study presents automated design and manufacturing of static and locomotion objects that rely solely on unconstrained 3‑D material distribution, aiming to exploit this design freedom with evolutionary algorithms. Using evolutionary algorithms, the authors automatically design cantilever beams with arbitrary static deflection profiles and freeform soft robots powered by volumetrically expanding actuators, then fabricate them. The fabricated beams achieved 0.5–7.6% accuracy, the soft robot performed within 15% error, showing that this design automation can unlock the multimaterial design space for novel mechanisms and deformable robots.
We present the automated design and manufacture of static and locomotion objects in which functionality is obtained purely by the unconstrained 3-D distribution of materials. Recent advances in multimaterial fabrication techniques enable continuous shapes to be fabricated with unprecedented fidelity unhindered by spatial constraints and homogeneous materials. We address the challenges of exploitation of the freedom of this vast new design space using evolutionary algorithms. We first show a set of cantilever beams automatically designed to deflect in arbitrary static profiles using hard and soft materials. These beams were automatically fabricated, and their physical performance was confirmed within 0.5-7.6% accuracy. We then demonstrate the automatic design of freeform soft robots for forward locomotion using soft volumetrically expanding actuator materials. One robot was fabricated automatically and assembled, and its performance was confirmed with 15% error. We suggest that this approach to design automation opens the door to leveraging the full potential of the freeform multimaterial design space to generate novel mechanisms and deformable robots.
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Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49.3K citations
Filip Ilievski, Aaron D. Mazzeo, Robert F. Shepherd et al. · Angewandte Chemie International Edition · 2011 · 1.4K citations · Full text