Benjamin Alt
Papers
11
Total Citations
34
H-Index
3
About
Benjamin Alt is a researcher at the forefront of industrial robotics, specializing in human-robot interaction, AI-driven robot programming, and intelligent automation. His work bridges the gap between advanced machine learning and practical manufacturing, addressing the critical challenge of making industrial robots more accessible and efficient. Alt’s major contributions include the development of RoboGrind, an intuitive system for automating complex surface treatment tasks like grinding and polishing, and pioneering research on heuristic-free optimization for force-controlled robot search strategies in stochastic environments. He has also advanced explainable AI in robotics, designing user interfaces that allow operators to understand and trust deep learning-based program optimizers. With over 30 citations across his most-cited papers, Alt’s impact is evident in his exploration of domain-specific fine-tuning of large language models for interactive robot programming and his work on neurosymbolic programming to bridge the AI adoption gap in industry. Notably, his research extends to surgical robotics, with weakly supervised segmentation of laparoscopic scenes, and deformable object manipulation, showcasing his versatility. Alt’s innovative, cross-disciplinary approach is shaping the future of intuitive, AI-augmented industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 4QueryCAD: Grounded Question Answering for CAD Models3 citations · 2025
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- 8MuTT: A Multimodal Trajectory Transformer for Robot Skills2 citations · 2024
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