P. Venkata Sriram
Papers
1
Total Citations
3
H-Index
1
About
Dr. P. Venkata Sriram is a robotics researcher whose work focuses on autonomous navigation and trajectory optimization, particularly for robotic manipulators operating in complex, obstacle-laden environments. His most cited contribution, "Non-uniform rational B-spline-based minimum cost trajectory planning for autonomous robots" (2010), introduces an innovative approach that leverages evolutionary algorithms—specifically the Elitist non-dominated sorting genetic algorithm (NSGA-II) and differential evolution (DE)—to generate smooth, collision-free paths for a Stanford robot manipulator. By integrating Non-Uniform Rational B-Splines (NURBS) with multi-objective optimization, Sriram’s method simultaneously minimizes trajectory cost and ensures kinematic feasibility, a significant advancement for industrial automation. While his citation count (3) reflects a focused, early-career impact, the work demonstrates a strong technical foundation in merging computational intelligence with geometric modeling. Sriram’s research is particularly relevant for students and engineers exploring evolutionary robotics, path planning under constraints, or the practical application of NURBS in autonomous systems. His contributions highlight the potential of bio-inspired algorithms to solve real-world robotic challenges, offering a stepping stone for further innovation in smart manufacturing and autonomous vehicle navigation.
Research Focus
Key Achievements
Top Papers
- 1