B. Giesler

Karlsruhe Institute of Technology, Karlsruhe University of Education

Papers

Total Citations

H-Index

About

B. Giesler is a researcher whose work sits at the intersection of mobile robotics, human-robot interaction, and advanced sensor processing. His most influential contribution, "Fast mapping using the log-Hough transformation" (2002), with 19 citations, tackles the computationally intensive challenge of environment mapping for mobile robots. By applying the log-Hough transformation to laser scanner data, Giesler developed a method to efficiently manage the complex coordinate transformations essential for real-time mapping, directly addressing the high CPU demands that had long constrained autonomous navigation. Giesler also explored the human side of robotics. In "Sharing skills: using augmented reality for human-robot collaboration" (2004, 6 citations), he investigated how augmented reality could bridge the gap between human intuition and robotic precision, aiming to make industrial and autonomous robots more accessible and cooperative in shared workspaces. His later work, "Virtual Immersion for Tele-Controlling a Hexapod Robot" (2006, 2 citations), extended this theme by using virtual reality to enhance remote control of legged robots, demonstrating a commitment to intuitive, human-centered interfaces. Though his citation counts are modest, Giesler’s contributions are notable for their forward-looking integration of mapping efficiency and collaborative human-robot systems, laying groundwork for more seamless robotic integration in complex environments.