Saptha Peralippatt
Papers
1
Total Citations
3
H-Index
1
About
Saptha Peralippatt is a robotics researcher whose work focuses on advancing autonomous navigation in complex, real-world environments. Her primary research areas include path planning, motion optimization, and energy-efficient robotic systems. Peralippatt’s most notable contribution is the development of the Adaptive Rapidly-exploring Random Tree Star (ARRT*) algorithm, a novel approach that enables collision-free, shortest-distance path planning for robots operating in constrained industrial settings. This work, published in 2021, addresses critical challenges in flexibility and sustainability by optimizing energy consumption during navigation. With 3 citations to date, her research is gaining traction among peers seeking practical solutions for automated systems. Peralippatt’s contributions are particularly relevant for industries aiming to integrate smarter, more sustainable robotic workflows, and her adaptive algorithm represents a meaningful step forward in making autonomous robots more efficient and reliable in tight, obstacle-rich spaces.
Research Focus
Key Achievements
Top Papers
- 1