Gaia AI
Acshi Haggenmiller is a skilled robotics engineer currently serving as the Lead Robotics Engineer at Gaia AI since May 2022. With a strong academic background, Acshi earned a PhD in Robotics from the University of Michigan and a BS in Computer Science and Mechanical Engineering from Yale University. Previous experience includes a Development Intern role at the Center for Open Science, where improvements were made to the Open Science Framework, and a Software Development Intern position at goBlue Labs, focusing on EEG data analysis for statistical predictions. Additionally, Acshi has conducted undergraduate research on security threats at Hope College and provided technical support at Yale University, customizing websites and organizing archival data.
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Gaia AI
Gaia AI uses drones, Lidar, and computer vision to collect data in forests. Gaia AI applies perception AI similar to that used in autonomous vehicles to accurately and automatically process LiDAR and camera data on forests. By combining the most advanced sensor technologies with perception AI, we are able to offer greatly improved measurementaccuracy at a lower cost than current manual solutions.