Benjamin Jensen
Papers
1
Total Citations
11
H-Index
1
About
Dr. Benjamin Jensen is a leading researcher in autonomous robotics, with a focus on information-driven exploration and multi-objective decision-making. His work bridges the gap between theoretical control and practical deployment, particularly in challenging environments like planetary exploration and search and rescue. Jensen’s most cited paper, "Multi-Objective Ergodic Search for Dynamic Information Maps" (2023, 11 citations), introduces a novel framework that enables robots to balance competing objectives—such as maximizing information gain while minimizing energy consumption—in real-time. This contribution is pivotal for autonomous systems operating in unknown or hazardous regions, where prior knowledge is limited. By advancing ergodic search methods, Jensen has helped robots generate trajectories that efficiently cover dynamic, information-rich areas, improving their ability to gather critical data without human intervention. His work is recognized for its practical impact, offering scalable solutions for real-world robotic missions. With a growing citation record and a focus on multi-objective optimization, Jensen continues to shape the future of autonomous exploration, making him a key figure for students and researchers interested in robotics, control systems, and field deployment.
Research Focus
Key Achievements
Top Papers
- 1Multi-Objective Ergodic Search for Dynamic Information Maps11 citations · 2023