Anton Karlsson
Papers
1
Total Citations
6
H-Index
1
About
Anton Karlsson is a robotics researcher whose work centers on autonomous navigation and motion planning for mobile robots in complex, dynamic environments. His primary contributions lie in the development of advanced control strategies that enable robots to operate safely and efficiently in industrial settings. Karlsson’s most cited work, "Trajectory Generation for Mobile Robots in a Dynamic Environment using Nonlinear Model Predictive Control" (2021), introduces a robust framework that combines long-range path planning—using visibility graphs and A* search for static obstacle avoidance—with real-time trajectory optimization via nonlinear model predictive control to handle dynamic obstacles. This dual-layer approach has garnered 6 citations, reflecting its practical relevance to the field. By addressing the critical challenge of collision-free navigation in cluttered, changing spaces, Karlsson’s research bridges the gap between theoretical control methods and real-world industrial applications. His work is particularly notable for its emphasis on computational efficiency and safety, making it a valuable resource for engineers and researchers developing autonomous systems for logistics, manufacturing, and service robotics.
Research Focus
Key Achievements
Top Papers
- 1