Adonis Christodoulou designs the jellyfish robot which can interact with people through hand gestures. When the designer first visited Auckland's Kelly Tarlton Aquarium last year, they were fascinated by the jellyfish and how it evoked a tranquil feeling.
The project is fueled by machine learning and has actuators with reels that are developed to function like tentacles. The sides also have holes that ensure the threads remain perpendicular to the respective reels. Other functions are the four strings that are connected to a level of the reels so that the next is found above the previous tentacle. The software is the highlight as it teaches the machine several hand gestures that are meant to translate emotions for the robot.
Jellyfish-Inspired Interactive Robots
Adonis Christodoulou Designs the Jellyfish Robot
Trend Themes
1. Machine Learning-powered Interactive Robots - The jellyfish robot is fueled by machine learning and can interact with people through hand gestures.
2. Actuator-reel Technology for Robotic Tentacles - The robot utilizes actuators with reels that function like tentacles, allowing for realistic movements and interactions.
3. Emotion-translating Hand Gesture Software - The software used in the robot teaches it various hand gestures that can effectively communicate emotions to humans.
Industry Implications
1. Aquarium Entertainment - The jellyfish-inspired robot could be used in aquariums to enhance visitors' experiences and create interactive displays.
2. Robotics and Automation - The actuator-reel technology used in the jellyfish robot can be applied to various industries, from manufacturing to healthcare, to increase the capabilities and flexibility of robotic systems.
3. Artificial Intelligence - The machine learning-powered jellyfish robot demonstrates the potential for AI to create lifelike and interactive robots that can understand and respond to human gestures and emotions.