Papers
6
Total Citations
40
H-Index
4
About
Abdul Haseeb is a researcher whose work bridges the worlds of autonomous robotics, semantic web services, and computer vision. His research focuses on enabling intelligent, decentralized systems to operate seamlessly in dynamic environments. A key contribution is his pioneering work on applying semantic web service composition to multi-robot systems, demonstrating how web-based solutions can be integrated into robotic control architectures for action planning. This foundational paper has garnered 14 citations. Haseeb has also made notable advances in computer vision, developing an accurate pixel-wise skin segmentation method using a shallow fully convolutional neural network, a contribution cited 11 times for its relevance to human activity recognition and robotic surgery. Beyond these, his research on distributed web service discovery in infrastructure-less environments and lightweight autonomic systems addresses critical challenges in robot swarm communication and self-organization. With a portfolio that includes work on web repository indexing and intelligent robotic navigation using defeasible logic programming, Haseeb’s interdisciplinary approach continues to impact the fields of autonomous systems, service-oriented computing, and visual perception.
Research Focus
Key Achievements
Top Papers
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- 6DeLP Based Semantic Location Lattice for Intelligent Robotic Navigation2 citations · 2008