Ankur Jaiswal
Papers
5
Total Citations
19
H-Index
2
About
Ankur Jaiswal is a robotics researcher focused on advancing the design, simulation, and control of robotic manipulators for real-world applications. His core research areas include finite element analysis of multi-degree-of-freedom (DOF) robotic arms, vision-based autonomous object tracking, and the structural optimization of manipulators for automated agriculture. Jaiswal’s most cited work, “Design and simulation of 6-DOF cylindrical robotic manipulator using finite element analysis” (2022, 11 citations), provides a foundational framework for analyzing robotic arm performance under various loading conditions. He has also made notable contributions to real-time object tracking, as seen in his 2025 paper on vision-based control of a 2DOF arm, which addresses the challenging task of deploying manipulators in dynamic environments like manufacturing and healthcare. His 2023 study on structural design for agricultural robots compares engineering materials to enhance durability and efficiency. Additionally, his work on a three-axis cantilever force sensor (2019) supports precision in robotic assembly tasks. With a growing citation record and a focus on bridging simulation and practical deployment, Jaiswal is establishing himself as a promising voice in applied robotics and automation.
Research Focus
Key Achievements
Top Papers
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- 4Design and analysis of three-axis cantilever type force sensor2 citations · 2019
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