Dennis R. Anthony
Papers
1
Total Citations
4
H-Index
1
About
Dennis R. Anthony is a rising scholar in control theory and multi-agent systems, with a focus on safety-critical optimal control and dynamic game theory. His most-cited work, "Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games" (2022, 4 citations), tackles a fundamental challenge in autonomous robotics: ensuring multiple agents can achieve their goals while avoiding collisions or failures. Anthony introduces a novel framework for reach-avoid games, where agents interact noncooperatively yet must satisfy distinct target and failure criteria. His key contribution lies in developing time-consistent, computationally efficient solutions that prevent agents from changing strategies over time—a critical advance for real-world applications like mobile robot navigation and drone swarms. Though early in his career, Anthony’s work has already garnered attention for bridging theoretical rigor with practical scalability, offering a pathway to safer autonomous systems. His research promises to shape the next generation of multi-agent coordination, where safety and efficiency are paramount.
Research Focus
Key Achievements
Top Papers
- 1