Jazem Mutared Alanazi

King Saud University

Papers

2

Total Citations

38

H-Index

2

About

Dr. Jazem Mutared Alanazi is a leading researcher in autonomous robotics, specializing in perception, navigation, and multi-robot collaboration. His work focuses on enabling robots to operate safely in dynamic, cluttered environments through advanced sensor fusion and mapping techniques. Dr. Alanazi’s most-cited paper, “Efficient Obstacle Detection and Tracking Using RGB-D Sensor Data in Dynamic Environments for Robotic Applications” (24 citations), introduces a robust method for real-time obstacle detection using RGB-D cameras, a critical contribution to safe autonomous navigation. He further advances the field with “CORB2I-SLAM: An Adaptive Collaborative Visual-Inertial SLAM for Multiple Robots” (14 citations), which presents a novel framework for multiple robots to cooperatively build global maps using visual and inertial sensors, even in unknown, cluttered spaces. This work addresses the complex challenge of collaborative simultaneous localization and mapping (SLAM), enabling teams of robots to share and integrate sensory data for enhanced environmental understanding. Dr. Alanazi’s research is pivotal for applications in search-and-rescue, industrial automation, and autonomous exploration, demonstrating significant impact through his innovative sensor-driven approaches to robotic perception and teamwork.

Research Focus

Key Achievements

2
H-Index
2
Papers
38
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Efficient Obstacle Detection and Tracking Using RGB-D Sensor Data in Dynamic Environments for Robotic Applications
24 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: King Saud University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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