Cornell University's Robot Barista Can Learn How to Use Coffee Machines
Rahul Kalvapalle — April 22, 2015 — Tech
References: news.cornell.edu & gizmag
Researchers at Cornell University have developed a robot barista that can do more than just make a latte it's been programmed to make; it can even learn to use unfamiliar coffee machines. The robot can use its past experience, and that of other robots -- as well as text instructions -- to figure out how to use a machine.
The next step in the robot barista's development will be to incorporate a sense of touch as well as visual monitoring to keep it from bumping into things. The robot will also need to be programmed to use trial and error as part of its learning process, as an inexperienced human barista would.
Human baristas needn't fear yet about their jobs; if anything they should be excited because the robot barista could prove to be a useful sidekick, and one that takes care of boring, mundane tasks while leaving real customer service to human colleagues.
The next step in the robot barista's development will be to incorporate a sense of touch as well as visual monitoring to keep it from bumping into things. The robot will also need to be programmed to use trial and error as part of its learning process, as an inexperienced human barista would.
Human baristas needn't fear yet about their jobs; if anything they should be excited because the robot barista could prove to be a useful sidekick, and one that takes care of boring, mundane tasks while leaving real customer service to human colleagues.
Trend Themes
1. Robotic Baristas - Opportunity for disruptive innovation: Developing advanced robotic baristas that can learn to use unfamiliar coffee machines through past experience, instructions, and trial and error.
2. Incorporating Touch and Visual Monitoring - Opportunity for disruptive innovation: Enhancing robotic baristas by incorporating touch and visual monitoring to improve their navigation and prevent collisions.
3. Collaboration Between Human and Robotic Baristas - Opportunity for disruptive innovation: Creating seamless integration and collaboration between human and robotic baristas to improve efficiency and customer service.
Industry Implications
1. Hospitality - Opportunity for disruptive innovation: Implementing robotic baristas in hotels, cafes, and restaurants to automate coffee-making tasks and improve service.
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3. Retail and Food Service Technology - Opportunity for disruptive innovation: Developing innovative retail and food service technology solutions that leverage robotic baristas to enhance efficiency and improve customer experience.
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