About

Kartik Prakash is a Robotics Engineer with over 3 years of experience in the field. He is currently working at Corvus Robotics as a Robotics Engineer. Prior to this, he worked at Vecna Robotics as a Robotics Software Engineer. During his time at Vecna Robotics, he successfully developed a framework that helped transition from gslam mapping approach to google cartographer (loop-closure based) mapping technique for generating maps of large scale warehouse environments. He also analyzed the utility of P&F 3D and TIM lidar sensors for pallet docking operations. Kartik Prakash holds a Master's degree in Mechanical Engineering from Texas A&M University, where he worked as a Graduate Research Assistant. As part of his thesis, he is working towards the development of an Autonomous Pallet Jack for material handling operations. He developed a new method of opportunistic localization that utilizes structural cues to ascertain robot location in environments with repeatable structure. This new method offers a drift reduction of more than 75% in isolated aisles and at least 70% in warehouse situations. He also demonstrated a path following scheme based on Model Predictive control to achieve way point following in a motion capture lab. Kartik Prakash has a Bachelor of Technology in Mechanical Engineering from National Institute of Technology, Tiruchirappalli. He also completed his high school education from Kendriya Vidyalaya and SSC from Sainik School Ghorakhal. Kartik Prakash is skilled in Software Engineering and Research Science. He has experience in developing a micro-controller based hardware setup and ROS based package to command the pallet jack. He also reduced the experimentation time to half by creating a GUI that provides easy tuning of parameters. He designed and evaluated three control strategies (MPC, PID and Pure Pursuit) to track path with a 100% success rate in real hardware. Overall, Kartik Prakash is a highly skilled Robotics Engineer with a strong background in Mechanical Engineering. He has experience in developing autonomous systems for material handling operations and has a proven track record in developing innovative solutions to complex problems.