About
Welcome to my digital workspace! I'm Robin K. Singh, a passionate robotics engineer with a keen interest in decision-making systems for autonomous robots operating in unstructured environments. My journey in robotics has been fueled by a relentless curiosity to explore the boundaries of machine autonomy and adaptability.
Currently, I'm pursuing my M.S. in Robotics at Oregon State University, with a focus on underwater robotic grasping. For my thesis, I've taken on the challenge of quantifying uncertainty and predicting the future pose of objects oscillating underwater under various wave conditions. This work involves developing dynamic grasping algorithms that account for real-time changes in object motion to achieve successful grasps. My research has been recognized by the IEEE OCEANS conference, where I had the opportunity to present my findings.
As a Graduate Research Assistant at the Robotics Decision Making Laboratory (RDML), I’ve built custom ROS2-pyBullet nodes to enable real-time autonomy for underwater robotic systems. My contributions include creating prediction models for object motion, designing safety behaviors such as obstacle avoidance, and conducting extensive testing at the O.H. Hinsdale Wave Research Lab.
Before delving into underwater robotics, I contributed to rider assistance and safety systems at Yatri Motorcycles. My role involved developing crash detection systems, implementing precise navigation algorithms using extended Kalman filters, and designing battery management systems. These experiences have honed my skills in integrating perception, planning, and control modules for real-world robotic applications.
My academic foundation is complemented by hands-on experience in motion planning, SLAM, and dynamics simulation. I’ve worked on projects ranging from autonomous ground vehicles navigating crowded sidewalks to designing gimbal systems for improved camera stability and localization.
Through my research and professional experiences, I aim to push the boundaries of what autonomous systems can achieve in complex and dynamic environments. Whether it’s underwater, on the road, or in unpredictable terrains, my goal is to enable robots to make informed decisions and adapt to their surroundings seamlessly.
Thank you for visiting my page. Let’s connect and explore the fascinating world of robotics together!
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