Julian Hoffmann

Sitegeist offers an autonomous and modular construction robot capable of addressing the skilled worker shortage, starting with concrete renovation in the construction industry.

As part of my work at TU Munich, I am co-founding Sitegeist, where we leverage cutting-edge research to develop intelligent, safe, and modular robots for construction sites. My focus is on software development, environmental understanding, and ensuring safety, contributing to innovations that improve both productivity and worker safety in the construction industry.

At TUM I am leading the development of a construction robot at the chair of Robotics, Artificial Intelligence and Embedded Systems. The tasks include supervising labs for master and bachelor students, testing hardware and algorithms, and developing the robot system.

During my time at Robotise, I had the exciting opportunity to be a vital part of the Robot Operation Center. I took charge of providing technical support for the cutting-edge mobile service robot, JEEVES. I also was responsible for client communication and got the opportunity to assist with management tasks. I also ventured into the world of software development, where I contributed to the state machine governing our second robot, MUULES. My time at Robotise provided me with the ideal mix of startup experience, technical skills and an in-depth understanding of the dynamic mobile robotics market.

The master's program in Robotics, Cognition, Intelligence is unique in Germany. It combines various engineering disciplines, such as mechanical and electrical engineering, with informatics.

In the Entrepreneurial Masterclass of UnternehmerTUM I can combine scientific excellence with entrepreneurial ambition and create value for society. This program allows me to write my entrepreneurial master's thesis on Safe Reinforcement Learning for Construction Robotics.

The Bachelor's program in Engineering Science provides students with a comprehensive understanding of the field, encompassing a solid foundation in core subjects, as well as a strong grasp of mathematics and the natural sciences. This program is demanding, totaling 210 credits. In my final semesters, I dedicated myself to a specialized focus on Machine Learning and Robotics, culminating in the completion of my Bachelor's Thesis on "Dynamic Path Planning for Autonomous Concrete Removal Robots" for which I earned a grade of 1.0.