J. Illingworth
Papers
7
Total Citations
84
H-Index
4
About
J. Illingworth is a leading researcher in robotics and sensor fusion, with a career dedicated to advancing how robots perceive and interact with dynamic environments. His primary research areas include decentralized sensor fusion, ubiquitous networked robotics, and time synchronization for mobile robot localization. Illingworth made major contributions to the European project URUS (Ubiquitous Networking Robotics in Urban Sites), where he developed a pioneering architecture for integrating environmental sensors and networked robots in urban settings—a framework that has garnered 45 citations for its foundational impact on cooperative robot systems. He also proposed a novel method for synchronizing odometry and vision data using interval-based time stamps, improving robot localization without restricting motion, and introduced an algorithm for time delay estimation in sensor fusion. His work on odometry error modeling for synchronous drive robots addressed systematic errors in wheel-based relative localization, enhancing accuracy in autonomous navigation. With over 80 total citations across his most-cited papers, Illingworth’s research has been instrumental in enabling robust, multi-sensor systems for applications ranging from urban services to surveillance. His fixation and viewpoint measure for object-based gaze control further reflects his deep interest in biologically inspired vision systems, underscoring a career dedicated to making robots more perceptive and adaptive.
Research Focus
Key Achievements
Top Papers
- 1
- 2Data fusion in ubiquitous networked robot systems for urban services12 citations · 2012
- 3Interval-Based Time Synchronisation of Sensor Data in a Mobile Robot10 citations · 2005
- 4Sensor fusion by a novel algorithm for time delay estimation8 citations · 2012
- 5Odometry Error Model for a Synchronous Drive Robot4 citations · 2007
- 6
- 7A fixation and viewpoint measure for object-based gaze control.2 citations · 1997