Suneet Shukla

Suneet Shukla is a Robotics Software Engineer III at 株式会社キビテク since October 2021, specializing in robotics software development. Prior experience includes a role as a Robotics Software Engineer at Yokohama National University, where Suneet's master's thesis focused on the Guided Policy Search method for industrial robots, developing a simulation environment for Kuka robots in ROS and Gazebo. Previous positions include a Software Engineer Intern at Rapyuta Robotics, emphasizing multi-robot navigation systems, and a research project at Stanford Research Institute analyzing human-computer interaction principles in deep reinforcement learning. Suneet's academic background includes a Master of Science in Mechanical Engineering from Yokohama National University and a Bachelor's Degree from the Indian Institute of Technology, Guwahati, where Suneet developed an activity-centered interaction model for humanoid robots. Additionally, Suneet interned at Honda Research Institute Japan Co. Ltd., analyzing push-recovery in bipedal robots.