B. B. Biswal

National Institute of Technology Rourkela

Papers

Total Citations

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About

B. B. Biswal is a prominent researcher in robotics and computational intelligence, with a primary focus on industrial automation and soft computing. His work centers on solving complex kinematic challenges in robotic systems, particularly for multi-degree-of-freedom manipulators. His most-cited paper, "Prediction of Inverse Kinematics for a 6-DOF Industrial Robot Arm Using Soft Computing Techniques" (2018), has garnered 16 citations, demonstrating its practical relevance in addressing real-world robotic control problems. Biswal’s contributions lie in integrating fuzzy logic, neural networks, and evolutionary algorithms to enhance the precision and efficiency of inverse kinematic solutions, a critical bottleneck in industrial robot programming. This work has implications for manufacturing, assembly, and material handling, where accurate trajectory planning is essential. Beyond this key publication, his research portfolio includes studies on optimization techniques for robotic path planning and adaptive control systems. Biswal’s work is notable for bridging theoretical soft computing methods with tangible industrial applications, making him a valuable resource for students and researchers exploring the intersection of artificial intelligence and robotics. His findings continue to influence the development of smarter, more autonomous industrial robots.