Papers
6
Total Citations
120
H-Index
5
About
Affan Shaukat is a researcher whose work sits at the intersection of field robotics, autonomous systems, and environmental sensing. His key research areas include terrain modelling for planetary exploration, autonomous nuclear waste management, and self-reconfigurable robotic architectures. Shaukat’s major contributions lie in advancing sensor fusion techniques, particularly through his work on Camera-LIDAR fusion for terrain modelling on planetary surfaces, which has garnered 34 citations. He has also made significant strides in the automation of nuclear decommissioning, with his 2018 paper on autonomous nuclear waste management receiving 32 citations, and his 2015 work on visual classification of waste material for nuclear decommissioning earning 31 citations. These contributions demonstrate a practical focus on solving real-world challenges in hazardous environments. Shaukat’s research on combining fuzzy logic with ontological reasoning for self-reconfigurable robotics further highlights his innovative approach to adaptive systems. His work is notable for its direct applicability to space exploration and nuclear safety, making him a key figure in the development of autonomous robots for extreme and unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous Nuclear Waste Management32 citations · 2018
- 3Visual classification of waste material for nuclear decommissioning31 citations · 2015
- 4Vision and Image Processing15 citations · 2016
- 5
- 6