Towards a Less Robotic Robot Painting Collaborator

Research
Project Overview
Redesign of user experience for CoFrida project in the BIG Lab at the Robotics Institute at CMU.
Team consisting of Lorie Chen, Phd Candidate Peter Schaldenbrand , and Professor Jean Oh.
Project Ongoing.
My Contributions
Development of concept, design, and fabrication/implementation of the following features: anticipatory motion, camera end effector, base board. Presented results and facilitated live demos of interactive robot arm experience at IEEE RAS 2024 for a 3 day Robot Design Competition.
Special thanks to Peter for letting me join this project and helping to implement the reduced planning time.
CoFRIDA is a robotics framework for painting and drawing that aims to make collaborative art-making an enjoyable experience. It currently moves in a robotic manner, executing each stroke linearly. This communicates the distinct planned quality of the system and sometimes results in jerky movements that detract from the artistic experience. To enhance the CoFRIDA collaborative experience with human artists, we propose to adapt the system to have multiple hand-designed behaviors exhibited by many human artists. We adapt CoFRIDA to (1) move in a more natural and fluid manner, (2) perform gestures that are common amongst human artists such as moving back to view the canvas from a different perspective, (3) sign the artwork, (4) have a simple face to add human-like character to the machine, and (5) create plans in real-time to avoid making the human wait excessively for the robot.
Read the full proposal:here.