R. Luza

Papers

Total Citations

H-Index

About

R. Luza’s research focuses on mobile robot path planning, industrial robotic control, and rescue robotics. His most cited work, “RRS: Rapidly-Exploring Random Snakes a New Method for Mobile Robot Path Planning” (2015, 4 citations), introduces an innovative algorithm that adapts the rapidly-exploring random tree (RRT) concept to snake-like robot locomotion, enabling efficient navigation in cluttered environments. This contribution addresses a critical challenge in non-holonomic robotic motion. Luza also developed a “ROS-based remote controlled robotic arm workcell” (2014, 2 citations), a comprehensive educational platform integrating a Mitsubishi Melfa RV-6SL industrial arm, Schunk gripper, and six Axis cameras. This workcell enables students to test artificial intelligence and computer vision algorithms in a real-world setting, bridging theory and practice. Additionally, his work on “Control Algorithms for Rescue Robot RUDA” (2018, 2 citations) advances autonomous navigation for disaster response, demonstrating his commitment to socially impactful robotics. With a total of 8 citations across these key papers, Luza’s contributions are foundational for researchers exploring path planning for non-standard robots, educational robotics frameworks, and rescue robot control systems.