Vision and Learning for Robotics Autonomous Navigation and Manipulation
Published:
This is a collection of projects for the course ELEC4260 (Intelligent Robots and Embodied AI) @ HKUST, 2025 Spring. Instructor: Prof. Ping TAN.
Project Overview
Develop and implement AI-driven robotics solutions for autonomous navigation and manipulation, based on learning-based algorithms (PoseCNN), sensor fusion, path planning (A*), and grasp synthesis (GraspCNN1 & GraspCNN2), to enable real-time robot control and environment interaction in lab and project settings.
The whole course’s projects are divided into the following sub-projects.
Sub-projects
- Project 1 - Odometry, Mapping and ICP
- Keywords: Wheel Odometry, LiDAR, Mapping, ICP
- Project 2 - Path Planning, Control and Exploration
- Keywords: Bezier Curve, Path Planning (A*), Control (PID), Frontier Autonomous Exploration
- Project 3 - Robotic Grasping