James Kurien
Papers
1
Total Citations
468
H-Index
1
About
James Kurien is a leading researcher in robotics and artificial intelligence, with a primary focus on decision-making under uncertainty. His most influential work, "Acting under uncertainty: discrete Bayesian models for mobile-robot navigation" (2002, 468 citations), addresses a critical gap in autonomous navigation: how robots should choose actions when faced with incomplete or noisy information. Kurien formulated this challenge as a partially observable Markov decision process (POMDP), providing the optimal solution for action selection—a breakthrough that has shaped modern approaches to robot autonomy. This work is widely cited for its rigorous integration of Bayesian reasoning with sequential decision-making, laying the foundation for robust navigation systems in real-world environments. Beyond this landmark paper, Kurien has contributed to probabilistic modeling and sensor fusion, advancing how robots perceive and act in uncertain settings. His research continues to influence fields from autonomous vehicles to planetary exploration, demonstrating the enduring impact of his theoretical and practical contributions to intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1Acting under uncertainty: discrete Bayesian models for mobile-robot navigation468 citations · 2002