Michael Posa

Michael Posa's innovative methodologies enhance understanding of the complex interactions between robots and their environments. As an Assistant Professor in Mechanical Engineering and Applied Mechanics at the University of Pennsylvania, he is dedicated to advancing the field of robotics through his research and teaching. Based in the Towne Building, Michael leads a dynamic research group that explores the intricacies of robot planning, control, and formal analysis. His work is particularly focused on developing computationally efficient algorithms that allow robots to perform dynamically and safely. These algorithms are designed to handle the non-smooth dynamics of contact, a challenging aspect of robotics that involves the unpredictable nature of physical interactions. By integrating numerical optimization techniques, Michael's research aims to enhance the capabilities of robots, enabling them to navigate and manipulate their surroundings with greater precision and reliability. Michael's research is applied to a variety of robotic systems, including legged robots and robotic arms. These platforms serve as testbeds for his algorithms, providing valuable insights into the practical applications of his theoretical work. His contributions to the field are not only advancing the state of robotic technology but also paving the way for more sophisticated and adaptable robotic systems. In addition to his research, Michael is committed to educating the next generation of engineers and roboticists. He is actively involved in teaching and mentoring students, fostering an environment of innovation and critical thinking. His courses often reflect his research interests, providing students with a comprehensive understanding of the challenges and opportunities in modern robotics. Michael's dedication to his field is evident in his numerous publications and presentations at leading conferences. His work has garnered attention for its potential to revolutionize how robots interact with the world, making significant strides toward more autonomous and intelligent robotic systems. Through his efforts, Michael continues to push the boundaries of what is possible in the realm of robotics, contributing to the broader goal of integrating robots seamlessly into everyday life.