Craig L. Perkins

Papers

Total Citations

H-Index

About

Craig L. Perkins is a researcher focused on the challenges of localization and sensing in miniature robotic systems. His key contributions lie in developing practical, low-cost methods for distance estimation between small, networked robots. In his most-cited work, "Distance sensing for mini-robots: RSSI vs. TDOA" (2011, 10 citations), Perkins provides a critical comparative analysis of two fundamental ranging techniques. He explores the trade-offs between the simplicity of Received Signal Strength Indicator (RSSI) and the precision of Time Difference of Arrival (TDOA), specifically designing compact and robust implementations that leverage existing communication hardware. This work is notable for addressing the real-world constraints of power, size, and processing limitations in mini-robotics, offering a clear engineering path for swarm applications. By systematically evaluating these methods, Perkins has helped establish a practical foundation for autonomous navigation and coordination in distributed robot teams, where precise heading is less critical than reliable distance data. His research continues to inform the development of more capable and efficient sensing strategies for the next generation of autonomous micro-systems.