Vijay Kumar Banga

About

Vijay Kumar Banga is a prominent robotics researcher whose career spans over two decades, with a sustained focus on industrial robotic manipulators, trajectory planning, and intelligent control systems. His work sits at the intersection of classical robotics and computational intelligence, pioneering the application of soft computing techniques — including fuzzy logic, genetic algorithms, and hybrid optimization methods — to solve complex challenges in robotic arm movement and motion planning. Banga's most impactful contributions center on developing collision-free trajectory planning frameworks for industry-standard manipulators such as the PUMA 560, KUKA LBR iiwa, and ABB IRB 140, with his 2022 trilogy of papers collectively accumulating over 80 citations in a remarkably short time. His earlier foundational work, including fuzzy-genetic optimal control systems as far back as 2011 and a genetic algorithm-based manipulator solution from 2007, demonstrates a long-standing commitment to advancing autonomous robotic control. More recently, he has explored the integration of artificial intelligence into industrial robotics, broadening the scope of his research to address real-world safety and efficiency challenges. With a cumulative citation count exceeding 140 across his key publications, Banga's research offers valuable, practical insights for engineers and students working in robotics, automation, and intelligent systems design.

Research Focus

Key Achievements

Top Papers

1. 1
   Robots and its types for industrial applications

   31 citations · 2022
2. 2
   Kinematics and trajectory planning analysis based on hybrid optimization algorithms for an industrial robotic manipulators

   28 citations · 2022
3. 3
   Combinations of novel hybrid optimization algorithms‐based trajectory planning analysis for an industrial robotic manipulators

   23 citations · 2022
4. 4
   Robotic Arm Movement Optimization Using Soft Computing

   18 citations · 2017
5. 5
   Fuzzy-genetic optimal control for robotic systems

   11 citations · 2011
6. 6
   Artificial Intelligence and Industrial Robot

   10 citations · 2022
7. 7
   Modeling And Simulation Of Robotic Arm Movement Using Soft Computing

   7 citations · 2011
8. 8
   Simulation Of Robotic Arm Using Genetic Algorithm And Ahp

   6 citations · 2007
9. 9
   Modeling and Inverse Kinematics of Kuka Manipulator

   4 citations · 2022
10. 10
    Inverse Kinematics Solution of Programmable Universal Machine for Assembly (PUMA) Robot

    3 citations · 2019

Key Collaborators

Contact & Links