Papers
8
Total Citations
40
H-Index
4
About
C. Goodin is a prominent researcher specializing in autonomous ground vehicle simulation, robotics sensor modeling, and unmanned systems development. Working closely with the U.S. Army Engineer Research and Development Center (ERDC), Goodin has made foundational contributions to high-fidelity simulation environments that bridge the persistent gap between virtual testing and real-world robotic deployment — a challenge he identified early in his career as central to autonomous systems development. Goodin is perhaps best known for his work on the Virtual Autonomous Navigation Environment (VANE) and its successor platforms, which provide physics-based, high-fidelity simulation of sensors, terrain mechanics, and complex environments for unmanned ground vehicles. His 2011 paper on high-fidelity robotics sensor models (11 citations) remains his most influential work, laying critical groundwork for realistic simulation standards. He later extended this thinking into formal verification and validation frameworks for autonomous robot simulations (8 citations), helping establish rigorous methodological standards for the field. More recently, Goodin has expanded into decentralized swarm control and agricultural robotics, including vision-guided cotton harvesting systems, demonstrating notable versatility. Across his career, his work has shaped how researchers and engineers approach the design, testing, and validation of intelligent ground vehicles in both military and civilian contexts.
Research Focus
Key Achievements
Top Papers
- 1The Need for High-Fidelity Robotics Sensor Models11 citations · 2011
- 2
- 3
- 4
- 5
- 6
- 7
- 8