Tristan Fogt is an experienced robotics engineer and entrepreneur based in Berlin, Germany. With a strong foundation in both academic research and practical industrial application, he has spent over seven years leading technical development in the automation sector. He is currently focused on building innovative solutions as a co-founder in the competitive Berlin tech scene.
Leading Technical Vision at Sensory Robotics
Since August 2018, Tristan has served as the Co-Founder and Chief Technology Officer of Sensory Robotics. In this leadership role, he is responsible for steering the company’s engineering strategies and technical development.
His work involves combining advanced engineering principles with practical business needs to create functional robotic systems. His long tenure at the company highlights his commitment to taking complex automation concepts from the drawing board to real-world implementation.
Academic Roots in Mechatronics
Tristan’s expertise is built on rigorous academic training received on two continents. He earned his Master’s degree in Mechatronics, Robotics, and Automation Engineering from the University of Pennsylvania, cementing his knowledge in core engineering disciplines.
Further specializing in his field, he pursued Doctor of Philosophy studies at Technische Universität Berlin between March 2023 and May 2024. His academic path reflects a deep dedication to mastering the complexities of modern automation and robotics engineering.
Hands-On Engineering Experience
Prior to concentrating fully on Sensory Robotics, Tristan gained significant R&D experience in the industry. As a Robotics Engineer at Photon AG from 2020 to 2022, he focused on designing industrial components, optimizing geometry, and utilizing Python for image processing and process automation.
His technical proficiency is backed by recognized credentials, including his status as a Certified SolidWorks Professional (CSWP) for computer-aided design. Earlier in his career, he completed a research internship at Knorr-Bremse in Munich, where he applied machine learning regression models to analyze engineering data.
Contributions to Robotics Research
Beyond corporate work, Tristan actively contributes to the intellectual landscape of robotics. He is an inventor on a United States patent filed in 2019 concerning the pairing of robotic devices to virtual objects or entities.
He has also co-authored publications addressing specific industrial challenges. His research topics include strategies for camera-less random bin picking and cable fixation methods for automated wire harness plugging in electric vehicle manufacturing. He is currently bilingual with native proficiency in both German and English
