Project 2

In alignment with NASA’s mission to expand human knowledge through scientific discovery and exploration, we are developing a bio-inspired soft robot, the amoebot, for future exploratory missions. This innovative robot, featuring a flexible silicone body, artificial muscle actuators, and a neural processing unit (NPU), serves as a critical platform for advancing autonomous robotic systems. Our project directly supports NASA’s objectives by investigating advanced AI algorithms for enhanced robot autonomy, enabling more efficient and resilient exploration of diverse planetary environments. Furthermore, we are exploring swarm coordination capabilities, which are essential for conducting complex, distributed tasks in challenging extraterrestrial terrains, ultimately contributing to NASA’s long-term goals of establishing a sustained human presence beyond Earth.

This student will contribute to the advancement of bio-inspired robotics for space exploration by utilizing CAD tools to refine the amoebot’s body and structure, focusing on designs optimized for the rigors of extraterrestrial environments. Through rapid prototyping with 3D printing, they will iteratively develop and test structural components, ensuring the robot’s resilience and adaptability. Furthermore, the student will gain practical experience in PCB design, crucial for integrating the Neural Processing Unit (NPU) with the artificial muscle actuators, a critical step in developing robust and reliable robotic systems for future NASA missions. In the project’s second phase, the student will focus on developing and implementing AI algorithms for autonomous operation, directly contributing to NASA’s goal of enhancing robotic autonomy for extended exploratory missions. We expect the student to work 20h per week in this project.

The expected outcomes include refined CAD designs, functional 3D-printed prototypes, integrated electronic systems, and advanced AI algorithms for autonomous navigation and swarm coordination. The student will gain hands-on experience in CAD, 3D printing, PCB design, and AI development, directly contributing to the project’s advancement towards higher Technology Readiness Levels. They will present their results at NAU’s UGrad and Engineering Fest, and actively participate in the preparation of research reports and conference presentations, contributing to the dissemination of findings in bio-inspired robotics and AI.