Aqil Rabbani Nurhadi
Papers
1
Total Citations
1
H-Index
1
About
Aqil Rabbani Nurhadi is a researcher specializing in robotics, autonomous navigation, and 3D perception systems. His work focuses on developing efficient solutions for indoor locomotion, particularly through the integration of advanced mapping and path-planning techniques. In his most-cited paper, "Dynamic Mapping and 3D Perception Using Voxel Grid and Modified Artificial Potential Fields for Indoor Locomotion," Nurhadi proposes a novel navigation system that combines RTAB-Map with Voxel Grid Filters and Joint Probabilistic Data Association (JPDA) to enhance environmental mapping efficiency. The local path planner further incorporates a modified pure pursuit algorithm with artificial potential fields, enabling robust obstacle avoidance and dynamic path adjustment. With 1 citation to date, this work represents a foundational contribution to the field, showcasing his ability to merge theoretical frameworks with practical robotic applications. Nurhadi’s research holds promise for advancing autonomous systems in complex indoor environments, making him a notable emerging voice in robotics engineering.
Research Focus
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Top Papers
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