| KEYWORD |
Large Language Models for Robotics Applications
Reference persons PANGCHENG DAVID CEN CHENG, ALESSANDRO RIZZO
Thesis type EXPERIMENTAL AND THEORETICAL
Description The thesis will explore the usage of generative large language models, such as ChatGPT, to assist human operators in the definition and control of robotics tasks. The basis for the work is the paper attached to this thesis proposal. The thesis will be carried out in collaboration with TIM (Telecom Italia); however, it does not involve an internship.
See also chatgpt___robotics [paper].pdf
Required skills - knowledge of robot modeling and control is required
- familiarity with large language models is highly desirable
- good knowledge of matlab/simulink is required
- knowledge of ROS/Gazebo constitute a strong plus
Deadline 22/09/2024
PROPONI LA TUA CANDIDATURA