MIT Develops Clio to Enhance Robots' Task-Specific Object Recognition

Clio enables robots to identify and focus on task-relevant objects using natural language processing and advanced computer vision.

Clio allows robots to interpret scenes with varying levels of detail based on task requirements.
In experiments, Clio enabled robots to perform specific tasks by identifying and mapping only relevant objects.
The system uses deep-learning tools and neural networks to process natural language descriptions and image segments.
Clio's real-time capabilities were demonstrated on Boston Dynamic’s quadruped robot, Spot, in an office setting.
Future developments aim to enhance Clio's ability to handle more complex, high-level tasks such as search and rescue.