RIL-LAB

The Robot Intelligence and Learning Laboratory was established in 2024 by Professor Qiang Nie, under the Systems Hub - Robotics and Autonomous Systems Thrust at The Hong Kong University of Science and Technology (Guangzhou). The lab is committed to deeply integrating robotics and artificial intelligence to develop the next generation of robots with autonomous learning capabilities, with a focus on humanoid robots and biomedical robots.

Learn More
Main Research Directions

RIL-LAB is dedicated to the deep integration of robotics and artificial intelligence, exploring the next generation of robot technology with autonomous learning capabilities. Our research covers multiple cutting-edge fields, aiming to drive innovation and development in robotics technology.

Robot Design and Control Illustration
Robot Design and Control

Innovative robot structure design, development of advanced control algorithms, enhancing robot performance and flexibility. We are committed to creating smarter and more flexible next-generation robots.

Multimodal Computer Vision Illustration
Multimodal Computer Vision

Exploring methods for perception, understanding, generation, and unifying multimodal large models, enhancing robots' understanding and adaptation to the environment, achieving more intelligent environmental perception.

Intelligent Operation Illustration
Intelligent Operation

Exploring the frontiers of intelligent operation technology, optimizing robots' operational capabilities, developing robots that can cope with complex environments, pushing robot applications to higher levels.

Human-Robot Interaction Illustration
Human-Robot Interaction

Researching human behavior understanding and prediction, exploring new ways of human-robot collaboration, enhancing robots' interaction capabilities, achieving more natural and efficient human-robot collaboration.

Learning from Videos Illustration
Learning from Videos

Through human skill learning and behavior imitation, enabling robots to learn autonomously from video data, improving robots' learning efficiency and adaptability.

AI Agent Illustration
AI Agent

Developing intelligent agents with autonomous decision-making capabilities, enabling robots to act autonomously in complex environments, continuously learning and optimizing their behavioral strategies.

Current Work Showcase

Text-guided Human Motion Generation
Work 2
3D Track-Guided Future Generation and Action Prediction
Grasp Pose Generation

Lab Application

Application Requirements

  • Strong interest in robotics and AI research, self-driven, with independent thinking. Enjoy research, love life, and are willing to make impactful contributions. Bonus points if you have wild ideas and a hands-on spirit.
  • Solid background in mathematics and programming.
  • Relevant research experience such as mechanical design, automatic control, computer vision, etc. High-level publications in related fields are a plus.
  • PhD applicants must meet admission requirements (e.g., English test scores).
  • Non-PhD positions require relevant research experience; postdoc applicants need publications in top-tier journals or A-level conferences.

Compensation and Environment

  • Enrolled PhD students receive a monthly stipend of RMB 15,000. Other positions also have competitive salaries.
  • A friendly and humble supervisor who provides one-on-one discussion time each week and has rich mentoring experience.
  • Cutting-edge research directions aimed at making a positive impact on future society.
  • HKUST(GZ) is located in the Greater Bay Area, offering an international research environment and diverse career options.
  • A free research ethos that embraces both elegance and pragmatism.

Click the email button to open your default mail client, or click the download button to get the pre-application system (be sure to email us as well)