The Engineering and Computational Learning of Artificial Intelligence in Robotics (ECLAIR) is a club at UT Austin dedicated to helping all robot-loving students to transform their passionate robotics ideas into reality. We provide the robotics parts and teach members state-of-the-art machine learning techniques such as neural networks and reinforcement learning to give students the ability to pursue their robotics projects.
ECLAIR is built on the foundation of three core tenets:
Culture of Learning All majors and students of all skill levels should be able to join any project of ECLAIR and learn through mentorship Accessibility Students should not have to put any of their own money towards the project. However, the hardware they use for the project must be returned to ECLAIR afterwards so that future projects may use them. Students should also not be required to pay dues Education ECLAIR will encourage outreach and education of the general public in robotics and AI
ECLAIR members work on one or more of our seven projects, all without spending a cent of their own money:
Autonomous Car: A car that drives without an operator.
CRACKLE: A recreation of the Robotic Arm Dum-E from Iron Man.
TAKOS: A robot octopus.
MCQUEEN: A robotic racecar that takes reinforcement learning to the limit.
Eye Tracking: Pupil tracking glasses that controls a small robotic arm.
Stay up-to-date on our progress by following our Instagram and visiting our website!
Instagram: eclairrobotics Website: https://eclairrobotics.web.app
Donate today to help keep ECLAIR Robotics free and accessible for all UT Students! Thank you for your contributions!
- ECLAIR
