West Bridgford, United Kingdom

Saaras Mehan


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Saaras Mehan: Innovator in Toolpath Generation

Introduction

Saaras Mehan is a notable inventor based in West Bridgford, GB. He has made significant contributions to the field of computer-aided manufacturing through his innovative patent. His work focuses on enhancing the efficiency and effectiveness of manufacturing processes.

Latest Patents

Saaras Mehan holds a patent titled "Toolpath generation by reinforcement learning for computer aided manufacturing." This patent encompasses methods, systems, and apparatuses, including medium-encoded computer program products, for the design and manufacture of physical structures. The invention utilizes toolpaths generated by reinforcement learning for subtractive manufacturing systems. The process involves obtaining a three-dimensional model of a manufacturable object and generating toolpaths that a computer-controlled manufacturing system can use. The machine learning algorithm employed includes scoring functions that correlate with desired toolpath characteristics, such as smoothness and collision avoidance.

Career Highlights

Saaras Mehan is currently associated with Autodesk, Inc., a leading company in design software. His work at Autodesk has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in manufacturing technology. His patent reflects his commitment to improving manufacturing processes through cutting-edge technology.

Collaborations

Saaras has collaborated with notable coworkers, including David Patrick Lovell and Akmal Ariff Bin Abu Bakar. These collaborations have fostered a creative environment that encourages innovation and the development of new ideas in the field of computer-aided design and manufacturing.

Conclusion

Saaras Mehan is a pioneering inventor whose work in toolpath generation has the potential to revolutionize computer-aided manufacturing. His contributions are significant in advancing the efficiency of manufacturing processes, showcasing the importance of innovation in technology.

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