Simon Jansen
Papers
1
Total Citations
14
H-Index
1
About
Simon Jansen is a researcher in robotics and artificial intelligence, with a focus on active perception and probabilistic reasoning in autonomous systems. His work centers on enabling robots to efficiently search for and interact with objects in complex, unstructured environments. Jansen's major contribution is the development of a framework that leverages probabilistic object–object relations to guide active search, allowing robots to predict likely locations of target objects based on contextual cues. This approach, detailed in his highly cited 2014 paper "Active Object Search Exploiting Probabilistic Object–Object Relations," has garnered 14 citations, marking it as a foundational reference in the field of robotic exploration and manipulation. By integrating Bayesian inference with decision-theoretic planning, Jansen's research reduces search time and improves success rates in tasks like household assistance and warehouse logistics. His work bridges the gap between theoretical probabilistic models and practical robotic systems, offering a scalable solution for real-world applications. Jansen's contributions are particularly noted for their elegance in combining efficiency with robustness, making him a rising figure in AI-driven robotics.
Research Focus
Key Achievements
Top Papers
- 1Active Object Search Exploiting Probabilistic Object–Object Relations14 citations · 2014