We currently have 3 robots which interact with our biological neural networks.
For most of our research we embody our biological neural networks within a simulated robot environment. We use the activity of the neurons as motor control to the bot, and convert the bots sensors as electrical feedback stimulation to the neurons, essentially giveing them senses. We believe that this closed-loop feedback environment is essential for the networks to learn to operate within them.
Autonomous robot with LED neural visualization
Our Pioneer LX autonomous robot base is as fully functioning navigational robot often used in factories (such as the Tesla Gigafactory). Equipped with laser and sonar sensors, the robot can create 2D maps, plan routes within its map and avoid obstacles along the way. The robot is fitted with a LED head we have built, which beautifully live streams the activity of our biological neural networks. We are planning to have the robot run autonomously in Glassgården, Gamle-elektro, NTNU.
We recently recieved the newest member to our robot family: Pepper. We plan to connect Pepper to our neurons and thereby make Pepper a human-like Cyborg!
Projects and thesis
A number of students have conducted their specialization projects and master thesis with NTNU Cyborg. Contact us if you would like to too!