B. B. V. L. Deepak
Papers
44
Total Citations
1,128
H-Index
17
About
B. B. V. L. Deepak is a prominent robotics and manufacturing systems researcher whose work spans autonomous mobile robotics, robotic welding, and intelligent manufacturing optimization. He is perhaps best recognized for his highly cited 2018 review on weld seam tracking techniques for robotic welding, which has garnered over 305 citations and established him as a leading authority in sensor-assisted robotic arc welding. His subsequent work on laser and vision-sensor integration for real-time weld seam detection further demonstrates his commitment to advancing welding automation quality and precision. Beyond welding, Deepak has made significant contributions to mobile robot navigation and path planning, pioneering bio-inspired approaches including artificial immune systems, Particle Swarm Optimization, and hybrid Cuckoo Search-Bat algorithms to enable autonomous robots to navigate complex environments efficiently. His research into robotic assembly sequence planning using Teaching Learning-Based Optimization and stability graph methodologies addresses critical challenges in modern manufacturing, with applications spanning aerospace and defense industries. With a cumulative citation portfolio exceeding 700 across his top works and an edited volume on intelligent manufacturing systems, Deepak's interdisciplinary research bridges computational intelligence and industrial robotics, making his contributions highly valuable to students and engineers pursuing advancements in smart manufacturing and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Advances in weld seam tracking techniques for robotic welding: A review305 citations · 2018
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- 6Control of an automated mobile manipulator using artificial immune system41 citations · 2016
- 7Innovative Product Design and Intelligent Manufacturing Systems40 citations · 2020
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- 10Innate Immune based Path Planner of an Autonomous Mobile Robot35 citations · 2012