Arvin Asokan

Robotics Systems And Product Lead @ Cyngn

About Arvin Asokan

Arvin Asokan serves as the Robotics Systems and Product Lead at Cyngn, where he has worked since 2020. He holds a Master's Degree in Electrical Engineering and has extensive experience in robotics, including roles at Amazon and Fetch Robotics.

Work at Cyngn

Arvin Asokan has been serving as the Robotics Systems and Product Lead at Cyngn since 2020. In this role, he is responsible for overseeing the development and implementation of robotics systems. His work is based in Menlo Park, California, where he has contributed to various projects that enhance the company's robotics capabilities. His expertise in mobile robot navigation and humanoids plays a significant role in the advancement of Cyngn's product offerings.

Education and Expertise

Arvin Asokan holds a Master's Degree in Electrical Engineering with a focus on Control and Robotics from George Mason University, which he completed from 2012 to 2015. He also earned a Bachelor's Degree in Mechatronics, Robotics, and Automation Engineering from Anna University between 2008 and 2012. Additionally, he obtained a Post Graduate Diploma in Business Entrepreneurship from the Entrepreneurship Development Institute of India in 2012. His educational background supports his expertise in computer vision, deep learning, and reinforcement learning.

Background

Arvin Asokan began his career as a Robotics Engineer Intern at Fetch Robotics in 2015, where he worked for three months. He then transitioned to a role as a Programmer Analyst at Code Ace Solutions, Inc. in 2016, where he worked for ten months. Following this, he joined Amazon as an Innovation and Design Engineer in Robotics, a position he held from 2016 to 2020. His diverse experiences in the robotics field have shaped his current role at Cyngn.

Achievements

Throughout his career, Arvin Asokan has developed significant skills in robotics systems development, particularly in the areas of computer vision and mobile robot navigation. His specialization in deep learning and reinforcement learning has contributed to advancements in robotics technology. His work at Cyngn and previous roles at Amazon and Fetch Robotics demonstrate his commitment to innovation in the robotics industry.

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