Gulshan Kumar

Title: Innovations by Gulshan Kumar in Semantic Navigation and Goal-Conditioned Exploration

Introduction

Gulshan Kumar is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of robotics and navigation through his innovative patents. With a total of two patents to his name, his work focuses on enhancing the capabilities of service robots in indoor environments.

Latest Patents

Gulshan Kumar's latest patents include a "Method and system for semantic navigation using spatial graph and trajectory history." This patent presents a model for semantic navigation that enables service robots to locate out-of-view objects within indoor settings. The system identifies the robot's current location using localization techniques and computes embeddings for visible regions through a pretrained Graph Neural Network (GNN). By calculating similarity scores for these regions, the robot can determine the optimal path to the target object.

Another significant patent is the "Methods and system for goal-conditioned exploration for object goal navigation." This innovation addresses the limitations of existing navigation methods by decoupling scene understanding from exploration policies. The approach utilizes a region classification network trained on semantic graphs, allowing the robot to navigate towards goals effectively, even in new environments and tasks.

Career Highlights

Gulshan Kumar is currently employed at Tata Consultancy Services Limited, where he applies his expertise in robotics and navigation technologies. His work at TCS has allowed him to collaborate on various projects that push the boundaries of what service robots