Pranavi Pathakota

Title: Pranavi Pathakota: Innovator in Robotic Navigation

Introduction

Pranavi Pathakota is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of robotics, particularly in the area of reinforcement learning and robotic navigation. His innovative approach has the potential to enhance the efficiency of mobile robots in various applications.

Latest Patents

Pranavi holds a patent titled "Method and system for reinforcement learning and dual channel action embedding based robotic navigation." This patent presents a Reinforcement Learning (RL) based architecture designed to efficiently learn action embeddings in a low-dimensional space. The system is capable of receiving a goal for a mobile robot to reach while obtaining its current location. It utilizes RL techniques to gather current transition dynamics associated with multiple directional actuators. The invention computes a plurality of embeddings based on the robot's current location and transition dynamics using a trained Dual Channel Training (DCT) based autoencoder decoder model. Ultimately, it calculates a displacement vector for the robot's navigation based on these embeddings.

Career Highlights

Pranavi is currently employed at Tata Consultancy Services Limited, where he applies his expertise in robotics and machine learning. His work focuses on developing advanced systems that improve robotic navigation and operational efficiency.

Collaborations

Pranavi collaborates with talented individuals such as Harshad Khadilkar and Hardik Meisheri, contributing to innovative projects within his organization.

Conclusion

Pranavi Pathakota is a pioneering inventor whose work in reinforcement learning and robotic navigation is paving the way for advancements in the field. His contributions are significant and reflect his commitment to innovation in technology.