Researchers of the Indian Institute of Technology, Madras has recently developed a class of efficient and quick “motion planning” algorithm that can think like Us. This new technology will enable autonomous ground, aerial and surface vehicles to navigate obstacle-cluttered environments.
As per the reports of IIT, Madras, the algorithms have been developed on the basis of GSE (Generalized Shape Expansion) that enables planning for dynamically, a feasible and safe trajectory for autonomous vehicles.
It will definitely surpass most of the existing state-of-the-art technologies in motion planning algorithms. It will give superior results in the future.
According to the research team: The new motion planning algorithm will give important and dynamic advancements during time-sensitive planning scenarios that arise in the various equipment and motor machines like self-driving cars, ISR operations, disaster response, delivery of the aerial drone, planetary exploration.
This new and high trending research was led by the Assistant Professor of Aerospace Engineering department “Satadal Ghosh” of IIT Madras. He has published various research papers at the national and international levels. Some of his top journals like the AIAA Journal of Guidance, IEEE Control Systems, attended top-tier conferences like the IEEE Conference on Decision and Control, the American Control Conference (ACC), and SciTech of AIAA.
If we talk about the complete team of this research, then there are many names on the list. It includes:
Vrushabh Zinage (Alumni) and Research Scholar at University of Texas
Adhvaith Ramkumar: Graduate student at Warshaw University of Technology
Nikhil P and Poland: Analyst at Goldman Sachs