William Xie is a Computer Science researcher who is working under the guidance of Advisor Nikolaus Correll in the Correll Lab. His research aims to make robotics more accessible and assistive in various real-world settings such as homes, sidewalks, schools, and stores.
Xie’s proposal focuses on three key research areas within the context of a supermarket. The first area of focus is understanding human preferences for interacting with assistive robots. This involves studying how people prefer to interact with robots in order to make the interaction more intuitive and user-friendly. By doing so, Xie hopes to develop assistive robots that can be easily integrated into everyday life.
The second area involves developing robust and generalizable robot manipulation techniques using multimodal foundation models. This will help robots manipulate objects effectively and efficiently in diverse environments such as crowded supermarkets. Xie believes that this technology will have significant applications beyond just supermarkets, including in other cluttered and dynamic environments where humans need assistance with tasks such as shopping or cleaning.
Finally, Xie aims to build end-to-end human-robot interaction systems that can be deployed in real-world environments such as supermarkets. By integrating these three key research areas, he hopes to make significant strides in enabling assistive robotics to assist people in a variety of everyday settings. Ultimately, Xie’s work has the potential to revolutionize the way we shop and live our daily lives by making robotics more accessible and user-friendly for everyone.
