Papers
2
Total Citations
187
H-Index
2
About
J. Xavier is a researcher whose work sits at the intersection of robotics perception and embedded systems education. His most impactful contribution is in real-time feature detection from laser range data, where he developed the Inscribed Angle Variance (IAV) method for robust arc and circle detection. This work, detailed in his highly cited 2006 paper (185 citations), also introduced a recursive line fitting technique and a system for detecting human legs, enabling robots to perceive their environment with greater speed and accuracy. Beyond perception algorithms, Xavier has contributed to engineering pedagogy, co-authoring a paper on teaching System-on-Chip (SoC) design through project-based robotics courses. This work reflects a commitment to bridging complex hardware design with hands-on learning, preparing students for the demands of modern embedded systems. While his citation record highlights the lasting influence of his laser scan processing work, his educational efforts underscore a broader vision: equipping the next generation of engineers with the skills to build intelligent, real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Fast Line, Arc/Circle and Leg Detection from Laser Scan Data in a Player Driver185 citations · 2006
- 2Teaching SoC Design in a Project-Oriented Course Based on Robotics2 citations · 2006