Papers
14
Total Citations
274
H-Index
7
About
C. Barret is a robotics researcher whose work has made significant contributions to autonomous mobile robot navigation, with a particular focus on fuzzy logic-based control systems and sensor-driven decision-making in indoor environments. Over roughly a decade of research spanning the late 1990s to early 2000s, Barret developed and refined sophisticated navigation frameworks that addressed one of robotics' central challenges: enabling robots to react intelligently and in real time to dynamic, unstructured environments without relying solely on pre-planned paths. Barret's most influential work, "Sensor-based navigation of a mobile robot in an indoor environment" (2002), has accumulated 129 citations, reflecting its lasting impact on the field. Alongside earlier foundational papers on fuzzy navigation strategies, Barret pioneered the integration of possibility theory and multi-sensor data fusion to enhance robotic perception and decision-making. A recurring theme across the body of work is the fusion of elementary behavioral agents — combining convex and concave obstacle avoidance strategies — to produce robust, adaptive navigation systems. Additional contributions in landmark-based positioning and auto-tuned fuzzy controllers demonstrate Barret's breadth across both perception and control. This research remains a valuable reference for students and engineers working at the intersection of fuzzy systems, autonomous robotics, and real-time control.
Research Focus
Key Achievements
Top Papers
- 1Sensor-based navigation of a mobile robot in an indoor environment129 citations · 2002
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- 5Progressive optimization of a fuzzy inference system11 citations · 2002
- 6Positioning of a mobile robot with landmark-based method9 citations · 2002
- 7Fuzzy agents for reactive navigation of a mobile robot8 citations · 2002
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- 10Fusion of fuzzy agents for the reactive navigation of a mobile robot3 citations · 2002