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"Have you ever wondered how a robot learns to clean a room, sort recycling, or organize a warehouse? This project tackles these challenges by building a robotic system that can see its environment, decide what to do, and learn how to act. You will be part of a team that integrates cameras and robotic arms. The robot will start with a pile of jumbled objects on a table (e.g., soda cans, water bottles, and coffee mugs). Using its camera and a natural language instruction, it must identify the target object if directly visible and plan a path to pick it up. If the object is not visible, the robot must actively search the unstructured pile of objects in order to discover it and effectively retrieve it. This project is a hands-on introduction to the entire robotics pipeline, connecting three key areas:
Perception: How does the robot see and understand the world?
Planning: How does the robot decide on a sequence of actions?
Learning: How does the robot acquire the physical skill to perform an action?"
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