Oliver Brock

Oliver Brock is an Alexander von Humboldt Professor at the Technical University of Berlin, where he leads research in robotics and computational intelligence. His work focuses on developing algorithmic foundations that enable robotic agents to perform complex tasks in dynamic environments, with applications extending to structural molecular biology. Brock also serves as Track Director for the Cognitive Systems and Science of Intelligence study programs, and previously chaired the Department of Computer Engineering and Microelectronics from 2013-2015.

Education:

• Ph.D. in Computer Science, Stanford University (2000)
• Master of Science in Computer Science, Stanford University (1994)
• Diplom in Computer Science, Technical University of Berlin (1993)

Brock's research spans robotics, computer vision, and computational biology. His laboratory develops algorithms for motion planning, manipulation, and perception that allow robots to operate effectively in human environments. Notably, his team applies robotics principles to solve problems in protein structure prediction and molecular biology, creating a unique bridge between synthetic and biological intelligence research. His work emphasizes uncertainty modeling, adaptive behavior, and the integration of learning with physical constraints.

Analysis of his recent publications reveals a strong interdisciplinary trajectory connecting robotics with cognitive science, neuroscience, and biology. His research increasingly explores how computational models from robotics can illuminate biological processes, while biological insights inform more robust robotic systems. Key themes include uncertainty modeling in perception and decision-making, the physics of manipulation, and the computational foundations of intelligence across different substrates.

Selected Awards:

• Alexander von Humboldt Professorship (2009)
• NSF CAREER Award (2006)
• Best Systems Paper Award at Robotics: Science and Systems (2016)
• First Place in Amazon Picking Challenge (2015)
• Multiple awards at Critical Assessment of Structure Prediction (CASP) competitions

Brock actively mentors students and postdoctoral researchers, with several of his advisees receiving best paper awards. His laboratory receives substantial funding from German research foundations, the European Union, and industry partnerships focused on advancing robotic manipulation and perception. He serves on editorial boards for leading robotics journals including Autonomous Robots and the International Journal of Robotics Research.

The Robotics and Biology Laboratory (RBO) at TU Berlin, led by Brock, maintains strong collaborations with biological research institutions and focuses on developing physically grounded computational models that work across both robotic and biological domains. Current projects emphasize uncertainty-aware perception, adaptive manipulation strategies, and the computational principles underlying intelligent behavior in complex environments.