Papers

3

Total Citations

77

H-Index

3

About

Ankur Bhargava is a robotics researcher whose work sits at the intersection of automation, control systems, and autonomous navigation. His primary research areas include automated guided vehicle (AGV) systems, robotic manipulation, and visual simultaneous localization and mapping (SLAM). Bhargava’s most impactful contribution is his comprehensive review of recent advances, techniques, and control algorithms for AGV systems, which has already garnered 37 citations since its 2024 publication—a strong indicator of its influence in this rapidly evolving field. He also demonstrated practical engineering prowess with his widely cited 2017 work on an Arduino-controlled robotic arm, where he developed a 5 Degree of Freedom (DOF) manipulator using servomotors and potentiometer-based user input, showcasing accessible yet effective mechatronic design. More recently, Bhargava has ventured into autonomous vehicle technology, designing and developing a visual-SLAM based AGV that integrates mobile robotics with automotive systems for self-driving applications. His work bridges theoretical control algorithms with tangible hardware implementations, making him a notable contributor to the growing field of autonomous navigation and industrial automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
77
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
A review of recent advances, techniques, and control algorithms for automated guided vehicle systems
37 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Jamia Millia Islamia, Guru Gobind Singh Indraprastha University

Top Papers

  1. 1
  2. 2
    Arduino controlled robotic arm
    37 citations · 2017
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago