Papers
23
Total Citations
226
H-Index
9
About
Golak Bihari Mahanta is a prominent researcher in the fields of robotics, automation, and intelligent manufacturing, with particular expertise in robotic arc welding, trajectory planning, and optimization algorithms. His work bridges the gap between computational intelligence and industrial robotics, producing practical solutions for real-world manufacturing challenges. Mahanta's most impactful contribution lies in sensor-assisted robotic welding, exemplified by his highly cited 2021 study on laser and vision-sensor-based weld seam detection, which has garnered 68 citations and significantly advances positional accuracy in automated welding systems. His research on optimal trajectory planning for industrial robots, employing sophisticated algorithms such as NSGA-II and improved ant lion optimizers, has further strengthened the field, collectively earning over 45 citations across multiple publications. His 2018 work on soft computing techniques for solving inverse kinematics in 6-DOF robot arms demonstrates his versatility in applying machine learning to complex robotics problems. Mahanta has also made notable contributions to gripper design optimization and hybrid fuzzy-PSO welding condition selection, reflecting a commitment to end-to-end automation solutions. With a body of work spanning vision systems, evolutionary computation, and robotic kinematics, his research continues to influence both academic inquiry and industrial practice in intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
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