Assured abstraction for hierarchical robotic planning
Dr. Mengxue Hou, an Assistant Professor at the University of Notre Dame, will present on robotic planning at this IEEE CSS seminar. Her talk will address the challenge of balancing computational efficiency and model fidelity in robotic decision-making for exploring unknown environments. She will focus on underwater vehicle navigation, presenting a learning method to create a non-Markovian reduced-order model that enhances accuracy. Additionally, she will discuss a Large-Language-Model-guided hierarchical planner that translates human-specified missions into executable actions with low computational cost.
Date and Time
Location
Hosts
Registration
- Date: 27 Sep 2024
- Time: 01:00 PM to 02:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
-
Add Event to Calendar
- Cleveland State University
- 2121 Euclid Ave.
- Cleveland, Ohio
- United States 44115
- Building: WH
- Room Number: 405
- Starts 30 July 2024 12:00 AM
- Ends 26 September 2024 12:00 AM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- No Admission Charge
Speakers
Prof. Mengxue Hou
Biography:
Mengxue Hou received the PhD degree from Electrical and Computer Engineering at Georgia Institute of Technology in 2022, and B.S. degree from Electrical Engineering at Shanghai Jiao Tong University in 2016. She was the Lillian Gilbreth Postdoctoral Fellow at College of Engineering, Purdue University from 2022 to 2023. Since 2023, she is an Assistant Professor at Electrical Engineering, University of Notre Dame. Her research interests include robotics, AI, control theory, and shared autonomy.
Email: