Maurice Tedder

About

Maurice Tedder is a researcher whose work lies at the intersection of autonomous robotics, computer vision, and intelligent control systems. His research focuses on developing cost-effective, modular solutions for mobile robots, with particular emphasis on integrating GPS navigation, vision-based autonomy, and advanced computational intelligence. Tedder's major contributions include pioneering the use of Matlab toolboxes for affordable robot vision and control software design, as demonstrated in his 2004 work on autonomous ground vehicles for the Intelligent Ground Vehicle Competition. He also advanced the application of GPS systems for mobile robot navigation and developed theoretical frameworks for 3D visual data processing that remain hardware-independent. His most cited paper (4 citations) on autonomous robot vision software design showcases his practical approach to making robotics accessible, while his work on modular robotic platforms incorporating fuzzy logic control and evolutionary artificial neural networks (3 citations) demonstrates his commitment to integrating multiple intelligent systems. Tedder's research has been particularly influential in demonstrating how low-cost hardware and open software approaches can enable sophisticated autonomous capabilities, making him a notable figure in applied mobile robotics and intelligent systems design.

Research Focus

Key Achievements

Top Papers

1. 1
   <title>Autonomous robot vision software design using Matlab toolboxes</title>

   4 citations · 2004
2. 2
   <title>Application of GPS systems on a mobile robot</title>

   4 citations · 2001
3. 3
   <title>Symbolic processing methods for 3D visual processing</title>

   3 citations · 2001
4. 4
   An affordable modular mobile robotic platform with fuzzy logic control and evolutionary artificial neural networks

   3 citations · 2004

Key Collaborators

Contact & Links