Jingang Yi

Professor Jingang Yi is making strides in research on autonomous robotic systems and mechatronics at Rutgers University-Camden, where he serves as a distinguished faculty member in the Department of Mechanical and Aerospace Engineering. With a Ph.D. in Engineering from the University of California, Berkeley, obtained in 2002, Professor Yi has established himself as a leading expert in dynamic systems and controls, as well as automation science and engineering. At Rutgers, Professor Yi is dedicated to advancing the field of engineering through both teaching and research. He has taught a wide array of courses, including engineering mechanics, dynamic systems and control, and robotics and mechatronics, imparting his extensive knowledge and passion for the subject to his students. His commitment to education is matched by his innovative research endeavors. As the director of the Robotics, Automation, and Mechatronics (RAM) Lab, Professor Yi leads cutting-edge research projects that explore the frontiers of autonomous vehicles, physical human/robot interactions, and sensor-based control modeling. His work in these areas not only contributes to the academic community but also has practical implications for the development of advanced robotic systems that can interact seamlessly with humans and their environments. Professor Yi's research interests are deeply rooted in the integration of mechatronics and automation science, with a focus on creating systems that are both intelligent and adaptable. His work in dynamic systems and controls is particularly noteworthy, as it seeks to enhance the efficiency and reliability of robotic systems in various applications. Through his leadership and expertise, Professor Yi continues to push the boundaries of what is possible in the field of engineering, inspiring both his students and colleagues to pursue innovative solutions to complex challenges. His contributions to the field are not only recognized within the academic community but also have the potential to impact industries reliant on advanced automation and robotics technologies.