DATA8010 - Embodied AI: Perception, Representation and Action
Program Overview
Introduction to the Research Postgraduate Programme
The Research Postgraduate Programme at the HKU Musketeers Foundation Institute of Data Science is designed for students with a strong background in electrical engineering or computer science who aim to perform research in the intersection of computer vision, machine learning, and robotics.
Programme Overview
The programme covers various topics in Embodied Artificial Intelligence (AI), which is concerned with the perception and representation of the physical world by autonomous agents and their consequent physical interactions.
Course Description
The course will explore how an agent can infer the physical and semantic states of the scene, e.g., via 3D reconstruction and semantic parsing; how these perceptions can be represented in a way that facilitates reasoning with both efficiency and explainability; and how actions can be made in order to achieve downstream interaction tasks.
Prerequisites
Basic knowledge of linear algebra, probability and random processes, optimization, signal processing, and machine learning will ease the digestion of the course materials.
Course Details
- Course Title: DATA8010 - Embodied AI: Perception, Representation and Action
- Course Instructor: Professor Yanchao YANG
- Course Description: This course will explore various topics in Embodied Artificial Intelligence (AI), which is concerned with the perception and representation of the physical world by autonomous agents and their consequent physical interactions.
- The course will cover how an agent can infer the physical and semantic states of the scene, e.g., via 3D reconstruction and semantic parsing.
- How these perceptions can be represented in a way that facilitates reasoning with both efficiency and explainability.
- How actions can be made in order to achieve downstream interaction tasks.
- Prerequisites: Basic knowledge of linear algebra, probability and random processes, optimization, signal processing, and machine learning will ease the digestion of the course materials.
Research Areas
The programme focuses on self-supervised and semi-supervised techniques that allow autonomous agents to learn perception and representation at low-annotation regimes for physical interactions in open environments.
Programme Structure
The programme is designed for students with electrical engineering or computer science backgrounds who aim to perform research in the intersection of computer vision, machine learning, and robotics.
Programme Handbook
The programme handbook provides detailed information on the programme structure, course requirements, and research expectations.
Funding and Scholarships
The programme offers funding and scholarships to eligible students to support their research and studies.
How to Apply
The application process involves submitting a research proposal, academic transcripts, and letters of recommendation.
Conclusion
The Research Postgraduate Programme at the HKU Musketeers Foundation Institute of Data Science provides a comprehensive education in Embodied Artificial Intelligence, covering topics such as perception, representation, and action. The programme is designed for students with a strong background in electrical engineering or computer science who aim to perform research in the intersection of computer vision, machine learning, and robotics.
