Dorsa Sadigh
Dorsa Sadigh is an associate professor in the Computer Science Department at Stanford University, with a joint appointment in Electrical Engineering. Her research focuses on the intersection of robotics, machine learning, and human-robot interaction, developing algorithms that enable robots to learn from and adapt to humans. She received her doctoral degree in Electrical Engineering and Computer Sciences from UC Berkeley in 2017 and is recognized with awards including the Sloan Fellowship, NSF CAREER, ONR Young Investigator Award, and MIT TR35.
“Dorsa Sadigh - Lab/Institution: Stanford University (senior author) - One of the most influential researchers in robot learning, human-robot interaction, and foundation models for robotics.”
Source→“Stanford researchers have cracked a critical bottleneck in physical AI deployment: how to take a pretrained robot foundation model and push it to 100% task reliability in under 20 minutes of real robot time.”
Source→“Senior author on the paper; her lab's prior work on human-in-the-loop methods is central to the system design described in Section 4.2.”
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