{"id":2221,"date":"2025-03-03T14:37:37","date_gmt":"2025-03-03T14:37:37","guid":{"rendered":"https:\/\/in.nau.edu\/nasa-spacegrant\/?page_id=2221"},"modified":"2026-02-11T19:47:14","modified_gmt":"2026-02-11T19:47:14","slug":"project-3","status":"publish","type":"page","link":"https:\/\/in.nau.edu\/nasa-spacegrant\/project-3\/","title":{"rendered":"Project 3"},"content":{"rendered":"<h1>Project 3<\/h1>\n<p>AmoeBot is a small soft robot equipped with a compliant silicone body driven by artificial muscles. The robot is fully autonomous and capable of making<br \/>\ndecisions in real-time thanks to neuromorphic hardware based on a power-efficient microcontroller that implements spiking neural networks. Part of the<br \/>\ncomputational processing is done by the body of AmoeBot itself that can act as a sensor. The soft body of AmoeBot makes it an excellent choice to<br \/>\nnavigate rough terrains, perform reconnaissance and environmental monitoring. Our final goal is to create a swarm of fully autonomous AmoeBots and<br \/>\nuse them for coordinated collective interaction.<\/p>\n<p>A successful student will do 3D modelling (Blender, OpenSCAD), 3D print the body, test artificial muscle wires and incorporate them in the body. The<br \/>\nstudent will also perform basic programming on the microcontroller to drive the artificial muscles and implement neuromorphic controllers. We expect the student to work 10h\/week over the two semesters.<\/p>\n<p>We expect the student to have CAD models and 3D printed bodies with incorporated artificial muscles that can contract and elongate according to a<br \/>\nsoftware control. This will subsidise research done in our group and will result in at least one conference publication and presentations at the NAU<br \/>\nEngineering Festival and UGrad Symposium<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Project 3 AmoeBot is a small soft robot equipped with a compliant silicone body driven by artificial muscles. The robot is fully autonomous and capable of making decisions in real-time thanks to neuromorphic hardware based on a power-efficient microcontroller that implements spiking neural networks. Part of the computational processing is done by the body of [&hellip;]<\/p>\n","protected":false},"author":575,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","ring_central_script_selection":"","footnotes":""},"class_list":["post-2221","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/in.nau.edu\/nasa-spacegrant\/wp-json\/wp\/v2\/pages\/2221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/in.nau.edu\/nasa-spacegrant\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/in.nau.edu\/nasa-spacegrant\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/in.nau.edu\/nasa-spacegrant\/wp-json\/wp\/v2\/users\/575"}],"replies":[{"embeddable":true,"href":"https:\/\/in.nau.edu\/nasa-spacegrant\/wp-json\/wp\/v2\/comments?post=2221"}],"version-history":[{"count":4,"href":"https:\/\/in.nau.edu\/nasa-spacegrant\/wp-json\/wp\/v2\/pages\/2221\/revisions"}],"predecessor-version":[{"id":2307,"href":"https:\/\/in.nau.edu\/nasa-spacegrant\/wp-json\/wp\/v2\/pages\/2221\/revisions\/2307"}],"wp:attachment":[{"href":"https:\/\/in.nau.edu\/nasa-spacegrant\/wp-json\/wp\/v2\/media?parent=2221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}