Arslan Habib
Papers
1
Total Citations
4
H-Index
1
About
Arslan Habib is a researcher advancing the frontiers of autonomous robotic systems, with a core focus on artificial intelligence, logic-based planning, and robotic navigation. His most-cited work, "Robotic Navigation Based on Logic-Based Planning" (2017, 4 citations), presents a practical implementation of autonomous navigation where goal achievement requires no human intervention. By integrating formal logic with planning algorithms, Habib addresses a fundamental challenge in robotics: enabling machines to reason about their environment and execute complex tasks independently. This contribution is particularly significant for developing reliable, decision-making frameworks in dynamic, unstructured settings. His research bridges theoretical AI concepts with real-world robotic applications, offering pathways toward more intelligent and self-sufficient systems. Habib’s work resonates with students and researchers interested in the intersection of logic, planning, and autonomous control, providing a foundational approach to building robots that can navigate and act without continuous human guidance.
Research Focus
Key Achievements
Top Papers
- 1Robotic navigation based on logic-based planning4 citations · 2017