Pedro Diehl

Papers

Total Citations

H-Index

About

Pedro Diehl is a robotics researcher whose work focuses on human-robot interaction, particularly through gesture-based control systems. His most cited paper, "Robot Navigation by Gesture Recognition with ROS and Kinect" (2015), demonstrates a pioneering approach to enabling intuitive robot control using upper-limb gestures captured by a Kinect sensor. By leveraging the Robot Operating System (ROS) framework, Diehl developed a system that calibrates and recognizes user movements in real time, allowing for seamless navigation commands without traditional interfaces. This work, which has garnered 3 citations, represents an early and accessible integration of consumer-grade depth sensors with open-source robotics tools, making gesture-based control more practical for research and education. Diehl's contributions highlight the potential of combining affordable hardware with flexible software ecosystems to democratize robotic interaction. His research continues to inspire new approaches in assistive robotics and human-robot collaboration, where natural, non-verbal communication can enhance accessibility and ease of use.