Papers
3
Total Citations
10
H-Index
2
About
Anirban Nag is a rising researcher in the field of robotics, with a focused expertise in the kinematics and workspace analysis of robotic manipulators. His work primarily addresses the fundamental challenges of inverse kinematics and workspace optimization for both serial and parallel robots. Nag’s most notable contribution is the development of an analytical method to determine the optimal effective regular workspace of a 6-6 Stewart platform manipulator, a critical problem for ensuring a robot can achieve a specified orientation range without singularities. This work, published in 2024, has already garnered 7 citations, signaling its immediate relevance to the robotics community. Additionally, he has explored degenerate cases in the inverse kinematics of general 6R serial robots, providing insights that help avoid computational failures in practical applications. His study of the generalized Stanford Arm further extends his kinematic analysis to a classic robotic architecture. While his citation counts are currently modest, reflecting his early career stage, the analytical rigor and practical significance of his contributions position him as a promising voice in robotic mechanism design and control.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3The Inverse Kinematics Problem of the Generalised Stanford Arm1 citations · 2024