Papers
16
Total Citations
230
H-Index
7
About
Lars Lindner is a leading researcher in mobile robotics and autonomous navigation, with a primary focus on advanced vision systems and multi-robot coordination. His most significant contribution is the development of a novel robot vision system using continuous laser scanning and dynamic triangulation, which dramatically improves 3D coordinate determination for industrial applications—a breakthrough detailed in his most-cited work (80 citations). Lindner has also pioneered methods for fusing 3D real-time vision data to optimize dead reckoning in robotic groups operating in hazardous, unknown terrains (50 citations), and has advanced path planning through continuous laser scanning techniques. His work extends to inertial navigation systems, model predictive control (MPC) implementation with ROS, and wireless communication integration for swarm robotics. With over 210 total citations across his publications, Lindner’s research has directly addressed critical challenges in autonomous navigation, landmark detection, and optoelectronic instrumentation. His achievements include developing practical solutions for real-time technical vision systems and demonstrating how data fusion and shared situational awareness can enhance robotic group performance in distributed, cluttered environments.
Research Focus
Key Achievements
Top Papers
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- 3Mobile Robot Path Planning Using Continuous Laser Scanning19 citations · 2018
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- 9ROS and Stereovision Collaborative System6 citations · 2022
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