Papers

5

Total Citations

107

H-Index

4

About

Ananda Maiti is a researcher whose work bridges cutting-edge computer vision, resilient multi-robot systems, and the Internet of Things (IoT). His most impactful contribution, a comprehensive review on 3D object detection and 6D pose estimation using deep learning, has garnered 83 citations, establishing him as a key voice in advancing how machines perceive and interact with three-dimensional environments. Maiti also tackles critical challenges in industrial automation, proposing an adaptive sliding mode control mechanism to secure multi-robot systems against Byzantine attacks—a vital innovation for the Industrial Internet of Things. His foundational work includes developing automata-based models for interoperating context-aware ad-hoc IoT devices, as well as pioneering efforts in engineering education, where he designed internet-based RF and wireless laboratories to equip students with hands-on skills for the telecommunications industry. Through these diverse contributions, Maiti demonstrates a commitment to both theoretical advancement and practical application, making him a notable figure in robotics, IoT security, and educational technology.

Research Focus

Key Achievements

4
H-Index
5
Papers
107
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
A Comprehensive Review on 3D Object Detection and 6D Pose Estimation With Deep Learning
83 citations · 2021
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Tasmania, University of Southern Queensland, Vellore Institute of Technology University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago