Sajjad Hussain Chauhdary

Papers

Total Citations

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About

Sajjad Hussain Chauhdary is a researcher focused on artificial intelligence, robotics, and logistics optimization, with particular emphasis on autonomous systems and IoT-enabled environments. His work addresses critical challenges in physical security and automated navigation, including package recognition for video surveillance in logistics settings and path planning for drones and mobile robots. Chauhdary has contributed to the development of efficient strategies for autonomous robot navigation, exploring evolutionary techniques to optimize turning points and secure movement in dynamic environments. His research on encrypted AI robots for package recognition in IoT logistics environments has garnered attention for its potential to enhance high-speed image recognition and robotic programming functions. Additionally, his studies on drone path planning have advanced understanding of how autonomous systems can replace hazardous human tasks while improving operational efficiency. With his most-cited papers accumulating citations, Chauhdary’s work sits at the intersection of robotics, artificial intelligence, and logistics, aiming to create safer and more efficient autonomous systems for real-world applications. His contributions continue to influence the development of intelligent robotic solutions for modern logistical challenges.