Bio: Dorsa Sadigh is an associate professor in Computer Science and an HAI senior fellow at Stanford University. She is also a research scientist at Google DeepMind. Her research interests lie in the intersection of robot learning and human-robot interaction. Specifically, she is interested in developing algorithms for adaptive learning agents that can learn from humans and interact with them. Dorsa received her doctoral degree in Electrical Engineering and Computer Sciences (EECS) from UC Berkeley in 2017, and received her bachelor’s degree in EECS from UC Berkeley in 2012. She is awarded the Sloan Fellowship, PECASE award, NSF CAREER award, ONR Young Investigator award, and MIT TR35.
Bio: Zac Manchester is an Assistant Professor in The Robotics Institute at Carnegie Mellon where he leads the Robotic Exploration Lab. His research leverages insights from physics, control theory, and optimization to enable robotic systems that can achieve the same level of agility, robustness, and efficiency as humans and animals. His lab develops algorithms for controlling a wide range of autonomous systems from cars merging onto highways to spacecraft landing on Mars. Zac Previously worked at NASA Ames Research Center and received a NASA Early Career Faculty Award in 2018 and a Google Faculty Award in 2020. He has also served as Principal Investigator of four NASA small-satellite missions.