Events Calendar

PhD Thesis Defense - Nathan Dennler

PhD Thesis Defense   Committee: Maja Mataric, Stefanos Nikolaidis, and Shri Narayanan   Title: Physical and social adaptation in assistive robot interactions   Abstract: Robots are expected to be deployed in various diverse environments and use-cases to provide physical and social assistance to end-users. A major barrier to the widespread deployment of in-home robots is the large variance in the personal preferences for how robots should perform tasks. The impact of personal preferences is exacerbated in robots compared to already ubiquitous computer systems because a robot’s embodiment allows it to physically interact with the world and form social connections with users through its actions. This dissertation explores how robots can adapt their mechanical design, physical behaviors, and social behaviors. Across these modalities, we emphasize the importance of both automatic adaptation through personalization, and user-driven adaptation through customization.

Location: Henry Salvatori Computer Science Center (SAL) - 126

Audiences: Everyone Is Invited

Contact: Julia Mittenberg-Beirao