Anel Kasic
Papers
1
Total Citations
2
H-Index
1
About
Dr. Anel Kasic is a robotics researcher whose work centers on advancing autonomous navigation in complex, unstructured environments. His primary contributions lie in the design and implementation of Nonlinear Model Predictive Control (NMPC) frameworks for mobile robots, addressing the critical challenge of safe motion planning when traditional path-planning assumptions fail. In his most-cited work, "Design of NMPC-Based Framework for Mobile Robot Motion in Unstructured Environments" (2018), Dr. Kasic introduced a novel approach that integrates real-time laser range-finder data with dynamically defined safety regions around obstacles. By embedding both actuator constraints and environmental geometry directly into the controller’s optimization problem, his framework enables robots to navigate tight, cluttered spaces with greater reliability and responsiveness. While his citation count (2) reflects a focused, emerging contribution, the technical depth of this work—particularly its fusion of predictive control with reactive obstacle avoidance—offers a practical blueprint for field robotics applications, from search-and-rescue to autonomous inspection. Dr. Kasic’s research continues to push the boundaries of how mobile systems can perceive and negotiate the unpredictable physical world.
Research Focus
Key Achievements
Top Papers
- 1