Student Projects

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The Way of Water: Development of a fleet of water-based drones for live performance

This project focuses on developing autonomous robots for synchronized performances on water. Equipped with kinetic water fountains, RGB lighting, and ultrasonic mist generators, the robots are designed to execute planned choreographies. The system utilizes robotics control, wireless communication, and positioning technologies to coordinate movements, and payload activation, facilitating complex pattern generation and synchronization. The objective is to advance the application of distributed robotic systems in creating structured and cohesive visual displays on water.

Keywords

Water based rovers, Electronics development, Distributed Robotics, Control Systems, Game design

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Semester Project , Bachelor Thesis , Master Thesis

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Published since: 2024-11-23

Organization Research D'Andrea

Hosts Ramachandran Aswin

Topics Arts , Information, Computing and Communication Sciences , Engineering and Technology

Teaching a robot to master a board game using Reinforcement Learning

The master thesis aims to create a physics-based simulation with Brax or MuJoCo for a robot to learn board game strategies via reinforcement learning. Utilizing a pre-built 2x 2D gantry robot integrated with ROS2, the project seeks to train the robot to learn the game from scratch and improve its play against both human and robotic opponents. The primary goal is rapid learning and superior performance, with a focus on understanding the factors of victory in games like this between robots trained on the same algorithm. All this will be performed in simulation and on a real robot.

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Semester Project , Master Thesis

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Published since: 2024-10-28 , Earliest start: 2024-08-15

Organization Research D'Andrea

Hosts Ramachandran Aswin

Topics Engineering and Technology

CyberRunner: Pushing the Boundary of Autonomy

CyberRunner is an AI robot whose task is to learn how to play the popular and widely accessible labyrinth marble game. The labyrinth is a game of physical skill whose goal is to steer a marble from a given start point to the end point. In doing so, the player must prevent the ball from falling into any of the holes that are present on the labyrinth board. The movement of the ball can be indirectly controlled by two knobs which change the orientation of the board. While it is a relatively straightforward game, it requires fine motor skills and spatial reasoning abilities, and, from experience, humans require a great amount of practice to become proficient at the game. Using recent advances in model-based reinforcement learning techniques, CyberRunner is able to outperform the previously fastest recorded time, achieved by an extremely skilled human player, by over 6%. Moreover, it does so with only 6 hours of practice. We envision expanding the capabilities of CyberRunner through further research. Students will contribute to advancing the field and establishing CyberRunner as a real-world robotic benchmark. Suitable projects in different areas are available for talented and motivated students. The project topics span model-based control, reinforcement learning, computer vision, and hardware design.

Keywords

CyberRunner, Reinforcement Learning, Machine Learning, Robotics

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Semester Project , Master Thesis

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Published since: 2024-07-24 , Earliest start: 2024-09-01 , Latest end: 2025-09-01

Organization Research D'Andrea

Hosts Bi Thomas

Topics Engineering and Technology

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