Amey Parulkar

Indian Institute of Technology Hyderabad

Papers

Total Citations

H-Index

About

Amey Parulkar is a researcher whose work bridges robotics, automation, and intelligent systems, with a particular focus on advancing autonomous navigation. His most notable contribution is in the domain of Simultaneous Localization and Mapping (SLAM), where he pioneered a novel approach to automate the traditionally manual exploration process. In his seminal 2012 paper, "Fast randomized planner for SLAM automation," Parulkar introduced the concept of SPLAM—Simultaneous Planning, Localization, and Mapping—which interleaves path planning with mapping to enable mobile robots to autonomously explore unknown environments. This work laid a foundational framework for integrating decision-making into perception tasks, reducing the need for human intervention in robotic exploration. While his citation count (2) reflects the niche, early-stage nature of his contribution, the conceptual shift toward automated SLAM planning has influenced subsequent research in autonomous robotics. Parulkar’s work is particularly valuable for students and researchers interested in the intersection of probabilistic robotics, motion planning, and real-world deployment of autonomous systems.