MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123036 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 5, 2025, for 'hybrid physics-based and data-driven celestial trajectory prediction system.'
Inventor(s) include Dr. Baiju B V; Sahil Krishnat Mohite; Yash Rajput; and Vishvajeet Singh Nayal.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a hybrid physics-based and data-driven celestial trajectory prediction system. The system includes a data acquisition module configured to retrieve real-time ephemeris data for celestial bodies, wherein the ephemeris data includes position vectors, velocity vectors, and orbital elements. A force modeling engine (FIG. 1) calculates net acceleration acting on a target celestial body using physics-based force models including gravitational forces from the Sun and planetary bodies, solar radiation pressure, and atmospheric drag effects, wherein each force component has a learnable coefficient that scales the respective force contribution. A numerical integration module propagates orbital states over time using the calculated net acceleration. A machine learning training module optimizes the learnable coefficients by minimizing prediction errors between predicted trajectories and ground truth ephemeris data. An output module generates predicted trajectory data."
Disclaimer: Curated by HT Syndication.
