Abeer Khan

Indian Institute of Information Technology Allahabad

Papers

Total Citations

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About

Abeer Khan is a researcher in robotics and artificial intelligence, with a primary focus on autonomous mission planning and motion planning for robotic systems. Their most notable contribution is the 2018 paper "Evolutionary Mission Planning," which addresses the challenge of enabling robots to solve and execute complex missions—an advancement over classical motion planning that traditionally only finds trajectories between two configurations. While the paper has garnered 2 citations, it lays foundational groundwork for integrating evolutionary algorithms into mission-level autonomy, bridging the gap between low-level path planning and high-level task execution. Khan’s work is particularly relevant for applications in field robotics, where robots must navigate dynamic environments and achieve multiple objectives. Though early in their career, Khan’s research signals a promising direction for making robots more capable of handling real-world complexity. Their contributions are of interest to students and researchers exploring evolutionary computation, autonomous navigation, and the intersection of planning and execution in robotics.