Pankaj Chopra
About Pankaj Chopra
Pankaj Chopra is a Principal Robotics and Control Engineer at Vicarious Surgical Inc., specializing in sensor fusion, localization, and control algorithms. He has a background in mechanical engineering and extensive experience in the robotics and controls field, having worked for notable companies such as Cummins Inc., Bose Corporation, and ClearMotion.
Work at Vicarious Surgical
Pankaj Chopra has been serving as the Principal Robotics and Control Engineer at Vicarious Surgical Inc. since 2019. In this role, he focuses on the development of robotics systems, applying his expertise in sensor fusion and localization. His work contributes to advancing surgical robotics technology, enhancing precision and efficiency in medical procedures.
Education and Expertise
Pankaj Chopra holds a Bachelor's Degree in Manufacturing Processes and Automation Engineering from Delhi University, which he completed from 2006 to 2010. He furthered his education with a Master's Degree in Mechanical Engineering, specializing in Mechatronics and Control Systems, from the University of Michigan, achieved in 2012. His academic background supports his technical skills in developing control algorithms, dynamic system modeling, and expertise in signal processing and frequency analysis.
Background in Engineering
Pankaj Chopra has a diverse background in engineering, with significant experience in various roles. He began his career as an Engineer Trainee at Bharat Heavy Electricals Limited in 2010. He then interned at Bhabha Atomic Research Centre in 2009. His tenure at Cummins Inc. included positions as a Control Engineer and Senior Controls and Diagnostics Research Engineer, where he worked on control systems for two years. He also held a role as a Research Engineer at Bose Corporation from 2015 to 2017 and as a Senior Controls Engineer at ClearMotion from 2017 to 2019.
Technical Skills and Interests
Pankaj Chopra possesses technical skills in sensor fusion, localization, and the development of control algorithms for electro-mechanical systems. He has a strong interest in autonomous systems and 3D printing, reflecting his commitment to innovation in engineering. His expertise also extends to system identification and lumped parameter modeling, which are critical for evaluating and improving system performance.