Papers
2
Total Citations
12
H-Index
2
About
Eric Kim is a researcher whose work lies at the intersection of robotics, control theory, and safety-critical systems. His primary research focus is on the design of provably safe and efficient control policies for autonomous systems operating under constraints. Kim made significant contributions to the field of persistent surveillance, where he developed novel methods for designing time-invariant, memoryless control policies for robots navigating environments with forbidden regions. By modeling robots as controlled Markov chains, he established a rigorous mathematical framework that guarantees safety while maximizing surveillance coverage. His foundational 2012 paper on "Memoryless Control Design for Persistent Surveillance under Safety Constraints" has garnered 9 citations, and his subsequent 2013 work on "Maximal persistent surveillance under safety constraints" has been cited 3 times. Though his citation counts are modest, Kim's work is notable for its theoretical elegance and practical relevance to autonomous systems that must operate indefinitely without human intervention. His research provides essential building blocks for applications ranging from environmental monitoring to security patrols, where robots must balance continuous operation with strict safety requirements.
Research Focus
Key Achievements
Top Papers
- 1
- 2Maximal persistent surveillance under safety constraints3 citations · 2013