Papers
12
Total Citations
562
H-Index
7
About
Iram Noreen is a prominent robotics and artificial intelligence researcher whose work centers on mobile robot navigation, path planning, and autonomous systems. She has made significant contributions to the field through her comprehensive investigations of path-planning algorithms, most notably her highly influential 2016 survey on RRT*-based optimal path planning, which has garnered over 314 citations and established itself as a foundational reference for researchers in autonomous robotics. Her work spans critical challenges in mobile robotics, including complete coverage path planning for non-holonomic robots, collision avoidance in cluttered environments, and path smoothness optimization using techniques such as clamped cubic B-splines. Noreen's research portfolio reflects both theoretical depth and practical relevance, addressing real-world applications in autonomous vehicles, agricultural robots, industrial automation, and planetary exploration. Her comparative analyses of algorithms like RRT*-AB and Memory Efficient A* have helped benchmark performance standards across the community. More recently, she has expanded into deep reinforcement learning for dynamic collision avoidance and computer vision applications such as hand pose recognition. With a cumulative citation count exceeding 550 across her published works, Noreen's research continues to shape the trajectory of intelligent autonomous navigation systems.
Research Focus
Key Achievements
Top Papers
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- 3Online complete coverage path planning using two-way proximity search42 citations · 2017
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- 6Optimal Path Planning for Mobile Robots Using Memory Efficient A*16 citations · 2016
- 7Hand Pose Recognition Using Parallel Multi Stream CNN11 citations · 2021
- 8
- 9An Energy Efficient Coverage Path Planning Approach for Mobile Robots7 citations · 2018
- 10A Review of Path Smoothness Approaches for Non-holonomic Mobile Robots5 citations · 2018