This course covers the computational design of compliant and dynamical robots. The learning outcomes include understanding topology optimization, soft arm optimization, and compositional design strategies. Students will learn skills such as tuning mechanics via geometry, designing kinetic origami robots, and controlling serial robots with tunable stiffness. The teaching method involves lectures on various topics such as hybrid aerial vehicles, origami-inspired fabrication, and energy storage for robots. This course is intended for individuals interested in robotics, mechanical engineering, and computational design.
Overview
Syllabus
Introduction.
Computational Robot Design.
Topology Optimization.
Hybrid Aerial Vehicles.
Hybrid Aerial Vehicle: System Overview.
Soft Arm Optimization.
Physical Validation.
Design Composition.
Tuning Mechanics via Geometry.
Hopping on Different Terrain Types.
Origami-Inspired Fabrication.
Energy Storage for Origami Jumpers.
Compositional Design Strategy.
Compositional Design of Kinetic Origami Robots.
Compactness.
Robot Design Approach.
Control/Design for Serial Robots with Tunable Stiffness.
Next Steps: Task Specification.
Next Steps: Actuation.
Taught by
Stanford Online
