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Andreas Hofmann has extensive experience in the field of robotics and artificial intelligence. Andreas currently holds the position of Principal Robotics Engineer at Aescape, where they are involved in the development of advanced robotics technology. Prior to this, they worked as a Principal Applied Scientist at Amazon Robotics, where they contributed to the development of cutting-edge robotics solutions.

Before joining Amazon Robotics, Hofmann served as a Principal Engineer in the field of robotics at Cruise. Their role involved focusing on motion planning and control aspects to enable safe and efficient rides in autonomous vehicles for ride-sharing services.

Hofmann's professional journey also includes serving as the Director and Head of Boston R&D Labs at GreyOrange, where they were responsible for the development of fully autonomous warehouse robotics technology. Andreas played a significant role in reducing human effort required for deploying warehouse robots and introducing robots capable of dealing with significant environmental uncertainty.

Earlier in their career, Hofmann worked as the Chief Scientist at DOLL Inc., where they conducted advanced research in robotics and artificial intelligence, specifically in the areas of "Active Perception" and "Accelerated Motion Planning." Andreas also held the position of Vice President Autonomous Systems at Vecna Technologies, overseeing the company's robotics software architecture and development.

Hofmann's expertise in robotics and AI began during their time as a Postdoctoral Associate at the Massachusetts Institute of Technology. Here, they led a team to develop intent recognition systems for automatic control of active prosthetics for the handicapped.

Prior to their academic pursuits, Hofmann held positions at Pegasystems and Gensym Corporation, where they led the development of expert system software and played a crucial role in the architecture and implementation of key products.

Hofmann started their career as an Edison Engineer at General Electric, gaining valuable experience in the field of engineering.

Overall, Hofmann's work experience showcases their strong background in robotics and AI, with a focus on motion planning, control, perception, and the development of autonomous systems.

Andreas Hofmann earned a Bachelor's degree in Electrical and Electronics Engineering from the Massachusetts Institute of Technology in 1982. Andreas then pursued a Master's degree in the same field from Rensselaer Polytechnic Institute, graduating in 1985. Andreas later returned to the Massachusetts Institute of Technology and completed their Ph.D. in Computer Science in 2005.