Miscellaneous


Feb 10, 2020

This video is part of the publication "Multi-Contacts Force-Reactive Walking Control During Physical Human-Humanoid Interaction", Taisuke Kobayashi; Emmanuel Dean-Leon; Julio Rogelio Guadarrama-Olvera; Florian Bergner; and Gordon Cheng.

In IEEE-RAS International Conference on Humanoid Robots, pages 33–39, Oct. 2019. Toronto, Canada
http://humanoids2019.loria.fr
 

Nicole Laeno dances with robots

May 29, 2020

GoldieSquad member Nicole Laeno is back! Nicole visits roboticist and choreographer Catie Cuan who shows Nicole how to program some iRobot Creates robots. Nicole has to choreograph a dance with her new robot dance partners before the episode's end!

iRobot Create programmable robot, hobby robot, iRobot Corporation, Bedford, Massachusetts, USA
 
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Boston Dynamics "Spot" and Softbank Robotics "Pepper" Collaborative Robot dance

July 7, 2020

How many robots can you see?
Boston Dynamics "Spot" and Softbank Robotics "Pepper" cheer for the Hawks with a collaborative Robot dance!!
 

Experiments & explorations: robots as musical instruments

Jul 1, 2022

Over the past few months the team at Everyday Robots, alongside Artist-in-Residence Catie Cuan, have been working on an experiment that transforms the robots from everyday physical tools to musical instruments. We map the joint velocities of the robot onto musical tracks, so the robot makes music while it moves - something akin to a ‘music mode’. This project was inspired by a set of questions around the relationship between dance and music: so often, music is played and robots dance to it, but what if the robot itself could become the musical instrument? What if the movement could dictate the music, rather than the other way around? It is an artistic human-robot-interaction experiment and is the first of several novel artistic projects we’re experimenting with on our robots.
 
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The RB-KAIROS+ robot choreography

Nov 28, 2022

Have you ever seen a robot dancing? One of the highlights of the 20th anniversary event of Robotnik was the choreography between the professional ballet dancer Sherezade Soriano and the mobile manipulator robot RB-KAIROS+.
Here you can see more applications that the RB-KAIROS+ is able to perform in industrial and logistic environments: https://bit.ly/3OJocEE
 

In Her Prime - Full Performance - Smithsonian Arts & Industries Building - Catie Cuan FUTURES

Jan 9, 2023

This choreorobotics dance is part atavistic ceremony, part celestial conjuring, and part ecstatic romping. It features three human dancers and two Boston Dynamics spot robots with original music, choreography, and video. It was the first robot-human dance performed at any Smithsonian building in its history and premiered on July 6th, 2022. This work was created as the culmination of Catie Cuan's Futurist-in-Residence appointment at the Smithsonian Arts and Industries Building.

Credits:
- Choreographer and Artist: Catie Cuan
- Robot choreography: Catie Cuan, Eric Rosen, and Max Merlin
- Dancers: Catie Cuan, Lisa Einstein, Willia Noel Montague
- Smithsonian residency and production: Hilary-Morgan Watt and Ashley Molese
- Brown University residency and production: Sydney Skybetter, Stefanie Tellex, and Madeline Morningstar
- Music: KLOAQ Audio Design
- Robot video: Michael DeLaurier
- Special thanks: Cameron Scoggins
 
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Microsoft Future Leaders in Robotics and AI Seminar Series, April 26, 2024: Catie Cuan

May 7, 2024

Microsoft Future Leaders in Robotics and AI Seminar Series: Choreorobotics: Teaching Robots How to Dance with Humans
Online Seminar

Catie Cuan
Postdoctoral Fellow
Standford University

As robots transition from industrial and research settings into everyday environments, robots must be able to (1) learn from humans while benefiting from the full range of the humans' knowledge and (2) learn to interact with humans in safe, intuitive, and social ways. I will present a series of compelling robot behaviors, where human perception and interaction are foregrounded in a variety of tasks. Supervised learning is incorporated in three projects to improve robots’ capabilities in dynamic, changing environments. In the first project, robots learned a door opening task from human teleoperators. In the second project, robots learned to navigate in response to human gestures by using imitation learning paired with model predictive control. In the third project, robots learned to move in groups based on a choreographer's preferences while generating music in real time. This work on compelling robot behaviors elucidates how teaching interfaces and interactions with robots in everyday settings can be appealing, efficient, and delightful.
 
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