Robot of Babel
Institution: ICD + IAAC
Faculty: Gili Ron, Samuel Leder, Lasath Siriwardena
Team: Mahaveer Bothra, Mohammed Hassabel, Maria Luisa Gomes Torres, Oswaldo Veliz
Our aim is to make Human Robot Collaboration accessible to a variety of users via different languages by developing a speech to toolpath interface.
As the participant enters the room, they are greeted by a robot with a friendly waving motion. The participant can speak to the robot via a microphone in their native language. Engaging in a collaborative activity, the participant and the robot work together to build a small tower using the wooden pieces on the table. Throughout this interaction, the robot responds to the participant’s language, with certain languages triggering specific motions, enhancing the collaborative experience.
This voice-triggered interface holds significant potential for the construction industry and other robotic fields, making human-robot collaboration more accessible and efficient. By removing language barriers, this technology enables seamless interaction, allowing diverse teams to work together effortlessly. The ability to communicate in one’s mother tongue ensures that language is no longer an obstacle, fostering a more inclusive and productive environment in industries reliant on robotics.