James S. Jackson

Papers

Total Citations

H-Index

About

James S. Jackson is a leading researcher in robotics and autonomous systems, with a primary focus on micro aerial vehicles (MAVs) and state estimation. His most impactful contribution is the development of **ROSflight**, a lightweight, inexpensive flight control framework that has garnered **43 citations** since 2016. This tool revolutionized MAV research by streamlining autopilot code development, minimizing reliance on embedded systems, and making advanced autonomous capabilities more accessible to the robotics community. Jackson also advanced pose graph optimization with his work on **Direct Relative Edge Optimization (DREO)**, a robust alternative for handling arbitrarily large initialization errors in state estimation—a critical challenge in SLAM and multi-robot coordination. His research bridges the gap between theoretical optimization and practical deployment, enabling more reliable autonomous navigation in complex environments. Through ROSflight, Jackson has empowered countless researchers and students to accelerate their work on MAVs, while his DREO method strengthens the foundation of robust perception systems. His contributions are essential reading for anyone working on autonomous flight, sensor fusion, or real-time robotic state estimation.