Papers
32
Total Citations
441
H-Index
11
About
V. Cadenat is a robotics researcher whose work spans two interconnected domains: vision-based mobile robot navigation and autonomous agricultural robotics. Over a career marked by methodological innovation, Cadenat has made significant contributions to sensor fusion, visual servoing, and safe robot control in complex, cluttered environments. Early foundational work established Cadenat's expertise in combining camera and laser range sensor data to guide mobile robots toward targets while avoiding obstacles — a multi-sensor paradigm formalized through task function and redundancy-based frameworks (2002–2006). These contributions, accumulating tens of citations, laid groundwork for robust robot behavior in unstructured real-world settings. Notably, a 2010 study fusing vision and RFID data for crowd-based person tracking attracted 88 citations, demonstrating broad interdisciplinary impact. Cadenat's research evolved toward agricultural robotics, addressing the unique challenges of GPS-denied orchard environments. Work on low-cost 3D sensors for tree detection (2018, 43 citations) and hybrid environment representations for autonomous navigation (2021, 59 citations) reflects a sustained commitment to practical, field-deployable solutions. Collectively, Cadenat's portfolio demonstrates a coherent research vision: enabling robots to perceive, reason, and navigate safely across diverse and demanding real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Vision and RFID data fusion for tracking people in crowds by a mobile robot88 citations · 2010
- 2
- 3
- 4
- 5Vision and RFID-based person tracking in crowds from a mobile robot23 citations · 2009
- 6Dynamical sequence of multi-sensor based tasks for mobile robots navigation23 citations · 2003
- 7
- 8Mixed camera-laser based control for mobile robot navigation20 citations · 2002
- 9
- 10Incremental On-Line Topological Map Learning for A Visual Homing Application11 citations · 2007