Thorben Schoepe
Bielefeld University, University of Groningen, RWTH Aachen University
Papers
5
Total Citations
71
H-Index
3
About
Thorben Schoepe is a leading researcher in neuromorphic engineering, specializing in biologically inspired sensory integration for autonomous navigation. His work focuses on how robots can combine auditory, visual, and olfactory cues to move safely and efficiently through complex environments—mimicking the multi-sensory processing of animals. Schoepe’s major contributions include developing closed-loop systems that integrate sound source localization with collision avoidance, enabling agents to navigate toward a target while dynamically reacting to obstacles. His 2019 paper on neuromorphic sensory integration (31 citations) laid foundational principles for this approach, while his 2024 study on motion-vision in dense environments (21 citations) advanced understanding of how agents can traverse narrow passages without collision. He has also explored event-based sound source localization and, most recently, odor localization for life-saving applications such as gas leak detection and search-and-rescue. With a growing body of work that bridges computational neuroscience and practical robotics, Schoepe is shaping the next generation of autonomous systems that perceive and act with animal-like efficiency.
Research Focus
Key Achievements
Top Papers
- 1
- 2Finding the gap: neuromorphic motion-vision in dense environments21 citations · 2024
- 3Closed-loop sound source localization in neuromorphic systems14 citations · 2023
- 4Odour Localization in Neuromorphic Systems3 citations · 2024
- 5Event-Based Sound Source Localization in Neuromorphic Systems2 citations · 2022