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Autonomous Driving
Principal Investigator: Joydeep Biswas
Research Educator: Nathan Tsoi | nathantsoi@utexas.edu
The Autonomous Driving FRI stream provides a broad introduction to autonomous driving, with applications from self-driving cars and last-mile delivery to search-and-rescue robots. Students will address core challenges in perception, planning, and control that are fundamental to autonomy, engaging with both state-of-the-art solutions and open research problems.Through independent, hands-on course projects, students will investigate a wide range of topics, including:
- Accurate and robust motion control for on-road and off-road driving
- Multi-sensor fusion, including image, LiDAR, and IMU data, for perceiving relevant entities and other agents
- Long-term localization and mapping in dynamic environments
- Decision-making strategies in multi-agent scenarios
- Hierarchical planning, from high-level mission objectives to low-level trajectories
These topics will be approached through a combination of mathematical analysis, principled algorithm design, and efficient implementation. Methods will include analytical modeling as well as machine learning paradigms such as supervised learning and reinforcement learning.
Course projects will be completed by groups of two students working on real 1/10th and 1/5th scale autonomous vehicles. To train and evaluate computationally demanding algorithms, students will have access to the high-performance computing resources at the Texas Advanced Computing Center.
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Medical Robotics & Haptics
Principal Investigator: Ann Majewicz Fey
Research Educator: Ross Neuman | ross.neuman@utexas.edu
The Medical Robotics Stream is aimed at those interested in the intersection of medical care and cutting-edge robotics research—from exoskeletons to surgical robots to devices that improve accessibility. Develop your skills to become a part of this fast-growing field and work on research projects in Texas Robotics labs or through clinical and community partners. Students in the stream will learn:
- how to make/manufacture/build your own mechatronic device.
- programming for robot control.
- human-centered design principals.
Research Goals:
- Create richer technology interactions via human touch
- Work on robotic devices aimed at improving human health and performance
- Design haptic interfaces for enhanced human sensing, perception, and control in the real world
- Showcase the effectiveness of your technology with real end-users in fun interactive demo event
- Dig deeper through formalized testing and evaluation potentially leading to high-impact publications in international haptics/robotics conference
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Space & Robotics
Principal Investigator: Luis Sentis
Research Educator: TBD
More information coming soon!