Laboratory
About
The Laboratory for AI, Robotics, and Automation at UC Davis is dedicated to advancing the frontiers of artificial intelligence and robotics.
Our Mission
The Laboratory for AI, Robotics, and Automation (LARA) at UC Davis is dedicated to advancing the frontiers of artificial intelligence and robotics. We're building autonomous systems that can learn, adapt, and operate in complex environments, with applications that range from industrial automation to healthcare diagnostics.
Our Values
Innovation
Pushing the boundaries of AI and robotics research to create revolutionary technologies and solutions.
Collaboration
Fostering interdisciplinary partnerships with industry and academic institutions to solve complex challenges.
Education
Training the next generation of researchers and engineers in cutting-edge technologies and methodologies.
Impact
Developing applications that address real-world problems in healthcare, automation, and autonomous systems.
Our Research Approach
Interdisciplinary Research
Our work bridges the gap between AI, robotics, computer vision, and mechanical engineering to create holistic solutions.
Real-world Applications
We develop technologies that have practical applications in healthcare, manufacturing, autonomous vehicles, and more.
Cutting-edge Facilities
Our laboratory is equipped with state-of-the-art equipment and technology to support innovative research and experimentation.
Our History
Founded at UC Davis, LARA Lab has been at the forefront of AI and robotics research, establishing itself as a leader in autonomous systems development. Our journey has been marked by groundbreaking publications, successful industry collaborations, and the development of innovative technologies that push the boundaries of what's possible.
Laboratory Established
LARA Lab was founded with a focus on integrating AI and robotics research.
First Industry Partnership
Established collaboration with leading technology companies to develop industrial automation solutions.
NeurIPS Recognition
Our research on autonomous systems was presented at the prestigious NeurIPS conference.
CVPR and Sensor Journal Publications
Published groundbreaking research on deep Bayesian-assisted keypoint detection and computer vision technologies.