MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621066088 A) filed by Shantilal Bhayal; Raghavendra G S; Sudip Dasgupta; and Amit Chakraborty on May 26, 2026, for Machine Learning-Driven Shortest Path System For Drone-Based Medical Delivery Using Travelling Salesman Problem Optimization.
Inventors include Shantilal Bhayal; Raghavendra G S; Sudip Dasgupta; and Amit Chakraborty.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to the development of a drone delivery systems that are optimized for efficiency can be very useful in solving problems relating to logistics in emergency medicine. In this paper, we will look at a unique method of using machine learning combined with a TSP solution to establish the optimal routes of delivery. The use of machine learning algorithms to predict the environmental conditions, obstacles that may arise, as well as the patient needs will help optimize the TSP solution by ensuring minimal travel time and energy. This will also involve managing the limited energy available in the drones to ensure that each point is served optimally. Simulation experiments have shown that this method surpasses all other algorithms used in route determination. FIG.1
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