Interested students please email: firstname.lastname@example.org
Background Locomotion remains an especially challenging problem in soft robots. Plush robots are a particularly exciting platform for exploring soft robotic locomotion, because plush robots possess a high strength to weight ratio, and are capable of quite large deformations.
Project Description This project will be focused on making plush robots that can walk. If a student's interests are more low-level, this project could involve designing new internal mechanisms, and identifying appropriate materials and approaches to fabrication. If a student's interests are more high-level, this project could involve designing tendon routing and locomotion strategies, using our in-house simulator.
Relevant Skills This project will involve basic mechanical design (Solidworks/CATIA), and sewing and machining (3D printer, laser cutter). Proficiency in C++ will be helpful, but is not essential.
NOTE: Interested students with excellent design skills would be supported in improving the actuation system.
NOTE: Interested students with excellent programming skills would be supported in improving the simulator.
Background One of the major selling points of soft robots (of which plush robots are a specific instance) is that they are capable of continuous, organic deformations. However, because a soft robot has an essentially inﬁnite number of degrees of freedom, reliably sensing a soft robot's shape remains a very challenging problem.
Project Description This project will be focused on making plush robots that can sense their own shape. This project will involve hands-on experimentation with novel electro-mechanical sensing hardware. Students will have the opportunity to build their own experimental test cases.
Relevant Skills The project will involve basic mechatronics (Arduino). Ability to pick up basic hands-on crafting/machining skills will be helpful. General programming proficiency will be helpful.
NOTE: Interested students with excellent programming skills would be supported in implementing their own strategies for shape sensing.