Papers
16
Total Citations
934
H-Index
10
About
Amit Shukla is a prominent robotics researcher whose work sits at the intersection of autonomous systems, control engineering, and industrial applications, with a particular focus on the oil and gas sector. His landmark two-part review series on robotics in onshore and offshore oil and gas industries (2015) has collectively amassed nearly 650 citations, establishing him as a leading authority on industrial automation in hazardous environments. These comprehensive surveys, alongside an earlier 2013 review, have become essential references for researchers and engineers exploring robotic solutions to the safety, health, and environmental challenges facing the petroleum industry. Beyond survey work, Shukla has made significant technical contributions in autonomous control systems, developing sophisticated approaches including fast adaptive gain nonsingular terminal sliding mode control for fault-tolerant multi-robot formations and vision-based guidance strategies for mobile robots navigating unknown environments. His research on UAV-based pipeline inspection demonstrates a practical commitment to translating theoretical advances into real-world industrial solutions. More recently, he has explored heterogeneous UAV-AGV collaborative systems and Dynamic Movement Primitives for trajectory learning. Through this diverse yet cohesive body of work, Shukla has meaningfully advanced both the theoretical foundations and practical deployment of autonomous robotic systems in demanding industrial contexts.
Research Focus
Key Achievements
Top Papers
- 1Application of robotics in onshore oil and gas industry—A review Part I356 citations · 2015
- 2Application of robotics in offshore oil and gas industry— A review Part II292 citations · 2015
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- 6A review of robotics in onshore oil-gas industry39 citations · 2013
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- 8Kinematic modes of vision-based heterogeneous UAV-AGV system15 citations · 2022
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