Hardik Meisheri

Title: Hardik Meisheri: Innovator in Reinforcement Learning and Robotics

Introduction

Hardik Meisheri is a prominent inventor based in Thane, India. He has made significant contributions to the field of reinforcement learning and robotics, holding a total of 3 patents. His innovative work focuses on enhancing robotic navigation and complex system simulations.

Latest Patents

One of Hardik's latest patents is 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 low-dimensional space. The system receives a goal for a mobile robot to reach and obtains its current location. It also gathers current transition dynamics associated with various directional actuators using an RL technique. The method computes a plurality of embeddings based on the robot's current location and transition dynamics, ultimately calculating a displacement vector for navigation.

Another notable patent is "System and method for actor based simulation of complex system using reinforcement learning." This invention addresses the challenges of decision-making and control in complex systems, such as business organizations and supply chain networks. The method utilizes RL for exploring policies and deciding control actions, employing actor-based modeling and simulation to optimize operations. It models actors of the complex system using an actor abstraction, allowing for micro-level interactions among subsystems and simulating emergent macro-behavior.

Career Highlights

Hardik Meisheri is currently employed at Tata Consultancy Services Limited, where he applies his expertise in reinforcement learning and robotics. His work has positioned him as a key figure in the development of innovative solutions in these fields.

Collaborations

Some of Hardik's coworkers include Vinita Baniwal and Harshad Khadilkar, who contribute to the collaborative environment at Tata Consultancy Services Limited.

Conclusion

Hardik Meisheri's contributions to reinforcement learning and robotics demonstrate his innovative spirit and commitment to advancing technology. His patents reflect a deep understanding of complex systems and the potential of robotics in various applications.