Presentation title: Programmable Environments with Distributed Swarm Robots Robots will soon increasingly enter our everyday life and seamlessly blend themselves into our living environment. These robots promise to make our environment more adaptive and programmable, in the same way that IoT devices did in the last decades -- beyond computationally controlled heating, lighting, and air-conditioning, it will soon be possible to computationally control physical objects and built environments by reconfiguring and actuating them. In this talk, I illustrate this potential future enabled by distributed swarm robots at different scales (from mm to m-scale) and demonstrate a range of applications from a context-aware ambient assistant for adaptive environments to interactive haptic and tangible interfaces for human-computer interaction. Bio: Ryo Suzuki (http://ryosuzuki.org/) is a PhD candidate in Computer Science at the University of Colorado Boulder where he is advised by Daniel Leithinger and Mark Gross. His research interest lies at the intersection between Human-Computer Interaction (HCI) and robotics, specifically focusing on the design and development of novel tangible user interfaces with the interactive swarm and soft robots. During his PhD, he has published thirteen peer-reviewed conference papers at top HCI venues, such as CHI, UIST, DIS, and ASSETS, and received one best paper. Previously he also worked as research interns at Stanford University, UC Berkeley, the University of Tokyo, and Adobe Research. He is also a recipient of the JST ACT-I Funding, the Seed of Disruptive Innovation Award, and the Nakajima Foundation Scholarship in Japan. More information is available at https://www.cs.washington.edu/events/.... This lecture was recorded on February 18, 2020 and is closed captioned.