Ben Sprenger
Papers
2
Total Citations
33
H-Index
2
About
Ben Sprenger is a robotics researcher whose work focuses on autonomous navigation, swarm intelligence, and human-robot interaction in complex, uncertain environments. His most influential contribution, "Robot exploration in unknown cluttered environments when dealing with uncertainty" (2017, 30 citations), addresses a critical challenge in urban search and rescue (USAR) missions: enabling robots to safely and efficiently explore disaster sites despite limited visibility and unpredictable obstacles. This work has been foundational for researchers developing field-deployable autonomous systems. More recently, Sprenger has pioneered the integration of large language models with robotics through "SwarmGPT: Combining Large Language Models With Safe Motion Planning for Drone Swarm Choreography" (2025, 3 citations), which introduces a novel language-based approach to designing synchronized, safe drone performances. By bridging natural language instructions with rigorous motion planning, this work opens new possibilities for creative and accessible swarm control. Sprenger’s research consistently addresses the tension between autonomy and safety, making him a notable voice in the growing field of AI-driven robotics for both practical and artistic applications.
Research Focus
Key Achievements
Top Papers
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- 2