Kit

Duckietown AI-Driving

HKU Duckietown Project is an interdisciplinary project that aims to democratise A.I. and robotics research. Through this project, students will gain tangible experience in a fun and playful way in prototyping self-driving robots and applying A.I. to the physical education platform developed by MIT for experiential learning.
A project highlight is the students’ participation in the A.I. Driving Olympics (AI-DO) international contests, with the live final events co-locate with NIPS and ICRA, the prestigious conferences in A.I. and robotics. Through the preparation of the competitions for over half a year, students will undergo intensive trainings, foster peer collaborations, solidify their knowledge and demonstrate a sustainable learning outcome.

Posture correction phone application

The fitness industry has experienced rapid growth in the past decade as millennials begin to realize the importance of staying fit and healthy. Strength building exercises are a primary component of all fitness routines but can be ineffective and dangerous if done incorrectly. As fitness trainers prove to be too expensive, we introduce TrainSmart. A phone application acting as an on the go virtual trainer, which not only assists users through their workout but also identifies mistakes in form and provides personalized feedback. TrainSmart uses a pose estimation library and a customized movement analysis algorithm to correctly count repetitions and spot errors in the user’s form. TrainSmart also consists of an automated phone stand, which tracks the user across the gym when he/she is performing the workout. The stand consists of an Arduino coupled together with a servo motor which communicates with the phone application via a Bluetooth connection.

Robomaster 2019

RoboMaster Robotics Competition focuses on the comprehensive application and engineering practice ability of the participating members in science and engineering disciplines, fully integrating many robot related technical disciplines such as “machine vision”, “embedded system design”, “mechanical control”, “inertial navigation”, “human-computer interaction”, etc. At the same time, the innovative combination of e-sports presentation and robotic competition makes the robot confrontation more intuitive and intense, attracting the attention and participation of many technology enthusiasts and the public. (Robomaster official website)