Joe Liechty - Ph.D. Student
Hi, my name is Joe Liechty! I am a roboticist, mechanical engineer, and computer scientist. The Robot Baseball Lab is a place for me share the interesting projects that I have worked on.
I am currently a Ph.D. student in the School of Computing and the Robotics Center at the University of Utah where I study how robots pick up and manipulate objects. In the past I have researched topics such as additive manufacturing, design theory, and haptics.
I am especially interested in blending control theory and machine learning to do robust, stable control and in task and motion planning for robots that work alongside people.
I want to help people be more excited about robots and artificial intelligence tools. I believe that these tools will help each of us increase our productivity, but only if we understand how to use them and have a desire to do so. As part of my outreach to the future generations of roboticists, I taught college-level mechatronics classes during my master’s degree. I hope to find more opportunities throughout my career to spark excitement about robots in others.
Degrees
Ph.D. Candidate in Robotics (School of Computing) – University of Utah
M.S. in Mechanical Engineering (Robotics) – University of Utah
B.S. in Mechanical Engineering – Brigham Young University
Coursework
- Robotics (BYU)
- Control Theory (BYU/Utah)
- Wearable Robotics (Utah)
- System Identification (Utah)
- Machine Learning (Utah)
- Haptics (Utah)
- System Dynamics (Utah)
- Artificial Intelligence (Utah)
- Motion Planning (Utah)
- Computer Vision (Utah)
- Probabilistic Deep Learning (Utah)
- Optimization (Utah)
- Large Language Models (New Turing Institute – Google DeepMind)
- International Product Development (National University of Singapore)
