Reality, Autonomy, and Robot Experience (RARE) Lab

Mission

Our mission is to solve the grand challenges to bring and retain robots’ benefits to our society by designing and evaluating understandable robot interactions and capable robotic systems.

Vision

We envision an era of robots that provide superior robot experiences for humans to interact, collaborate, team up, and live with.


News

Undergraduate student James Yab joined the RARE lab working on comparing a physical robot with its augmented reality version.

Start-of-Summer Lab Brunch

We just had our start-of-summer brunch or lunch!

UR2PhD

Congrats to Adrian Lozada and Villa Keth for selection to the CRA Undergraduate Research to PhD (“UR2PhD”) program to learn the hidden, fulfilling research pathways!

Undergraduate students Villa Keth and Ridhima Phatak have joined the RARE Lab. Welcome!

Excellence in Mentoring Undergraduate Research Award – Faculty

Dr. Zhao Han has received the Excellence in Mentoring Undergraduate Research Award – Faculty, in part thanks to the nomination from Tammy Do and Liam Ha!

Undergraduate student James Ocampo has joined the RARE Lab and will work at the intersection of augmented reality and robotics. Welcome!

Research

Research focuses on interdisciplinary human-robot interaction (HRI), involving robotics, augmented reality (AR), AI, cognitive science, and psychology… See Research Overview →

Recent Publications

Do Results in Experiments with Virtual Robots in Augmented Reality Transfer To Physical Robots? An Experiment Design

Do Results in Experiments with Virtual Robots in Augmented Reality Transfer To Physical Robots? An Experiment Design

WYSD 2024
To Understand Indicators of Robots’ Vision Capabilities

To Understand Indicators of Robots’ Vision Capabilities

VAM-HRI 2024
Designing Indicators to Show a Robot’s Physical Vision Capability

Designing Indicators to Show a Robot’s Physical Vision Capability

IEEE VR 2024 Poster
Causal-HRI: Causal Learning for Human-Robot Interaction

Causal-HRI: Causal Learning for Human-Robot Interaction

HRI 2024 Workshop Abstract