Online Classroom
RoboCup@Home Education
Invited Lecture Series
Invited Lecture Series
Schedule
*NEW* May 10, 2021 (Mon) 19:30~21:30 (GMT+8) | Nobu Iijima
September 30, 2020 (Wed) 21:00~23:00 (GMT+8) | RoboBreizh
September 2, 2020 (Wed) 17:30~19:30 (GMT+8) | LASR
August 31, 2020 (Mon) 15:00~17:00 (GMT+8) | Changhe High School
August 22, 2020 (Sat) 15:00~17:00 (GMT+8) | Danny Ng Wee Kiat
August 11, 2020 (Tue) 10:00~12:00 (GMT+8) | UBC Open Robotics
August 03, 2020 (Mon) 15:00~17:00 (GMT+8) | The Grey Area
July 08, 2020 (Wed) 19:00~21:00 (GMT+8) | Sebastian Castro
June 16, 2020 (Tue) 09:00~11:00 (GMT+8) | Luis Contreras
June 09, 2020 (Tue) 09:00~11:00 (GMT+8) | Luis Contreras
June 03, 2020 (Wed) 19:00~21:00 (GMT+8) | Jose Avendano
In Preparation | Kanjanapan Sukvichai
RoboCup Virtual Manipulation Challenge
Getting Started with the RoboCup Virtual Manipulation Challenge
Speaker: Nobu Iijima | MathWorks
Date and Time:
May 10, 2021 (Mon) 19:30~21:30 (GMT+8 China/Malaysia)
May 10, 2021 (Mon) 07:30~09:30 (EDT New York)
May 10, 2021 (Mon) 13:30~15:30 (CET Italy/France)
Highlights
Overview of the RoboCup Virtual Robot Manipulation Challenge for 2021
Introduction to the challenge and rules, demonstrations of the robot manipulation templates and virtual environments, and a Q & A section
Join the challenge for a chance to win up to $5000 USD in research grants!
Nobu Iijima is an Automotive engineer from MathWorks specialized in the area of Automotive education and student competitions. Other previous experience includes modeling and simulation of a new type of electric brake called magnetorheological brake adapted for environmental needs and automatic driving technologies.
Design Of A Modular Architecture Using ROS
Design Of A Modular Architecture Using ROS: The Pepper Case
Speakers: RoboBreizh | Lab-STICC, ENIB
Date and Time:
September 30, 2020 (Wed) 21:00~23:00 (GMT+8 China/Malaysia)
September 30, 2020 (Wed) 09:00~11:00 (EDT New York)
September 30, 2020 (Wed) 15:00~17:00 (CEST Italy/France)
Highlights
Best Performance Award winner of RoboCup@Home Education Online Challenge 2020
ROS framework for SoftBank Robotics Pepper
RoboBreizh is a project of the RAMBO team of Lab-STICC, located at the European Center of Virtual Reality (CERV) of the National Engineering School of Brest (ENIB). It was launched in 2019 by Cédric Buche, Full Professor at ENIB. The current goal of this project is to create a team to be part of the Robocup 2021 Bordeaux edition.
HRI Simulation in ROS Gazebo
Human-Robot Interaction Simulation in ROS Gazebo
Speakers: LASR | University of Leeds
Date and Time:
September 2, 2020 (Wed) 17:30~19:30 (GMT+8 China/Malaysia)
September 2, 2020 (Wed) 05:30~07:30 (EDT New York)
September 2, 2020 (Wed) 10:30~12:30 (UTC+1 UK)
Highlights
Champion of RoboCup@Home Education Online Challenge 2020
Development of Human-Robot Interaction simulation in ROS Gazebo
Web Terminal Applications Based on Public API
Web Terminal Applications Based on Public API [Chinese]
Speakers: FantasyIT_Papper & Micro agent service | Hangzhou Changhe High School
Date and Time:
August 31, 2020 (Mon) 15:00~17:00 (GMT+8 China/Malaysia)
August 31, 2020 (Mon) 03:00~05:00 (EDT New York)
August 31, 2020 (Mon) 09:00~11:00 (CEST Italy/France)
Highlights
Gold and Bronze awards winner of RoboCup@Home Education Online Challenge 2020
Development of SoftBank Robotics Pepper robot
Simulation of Service Robot in Gazebo
Simulation of Service Robot in Gazebo
Speaker: Danny Ng Wee Kiat | UTAR
Date and Time:
August 22, 2020 (Sat) 15:00~17:00 (GMT+8 China/Malaysia)
August 22, 2020 (Sat) 03:00~05:00 (EDT New York)
August 22, 2020 (Sat) 09:00~11:00 (CEST Italy/France)
Highlights
Live demo on developing service robot simulation in Gazebo.
Creating a robot in Gazebo
Interfacing with sensors and robot using ROS
Creating actor and scenes in Gazebo
Completing follower task in simulation
Open source code
Danny Ng Wee Kiat received the B.Eng. degree in electronics engineering from Multimedia University, in 2008 and the M.EngSc. degree from University Tunku Abdul Rahman, Malaysia, in 2012. His research interest includes the development of indoor robots, SLAM based navigation, microcontroller systems and robotic application.
Taking Up a Challenge as an Engineer
Taking Up a Challenge as an Engineer
Speakers: UBC Open Robotics | The University of British Columbia
Date and Time:
August 11, 2020 (Tue) 10:00~12:00 (GMT+8 China/Malaysia)
August 10, 2020 (Mon) 19:00~21:00 (PDT Vancouver)
August 11, 2020 (Tue) 04:00~06:00 (CEST Italy/France)
Highlights
Double awards winner of RoboCup@Home Education Online Challenge 2020:
Silver Award (Open)
People's Choice Award
@Home Education Participants: Osman Baalbaki, Francisco Farinha, Nick Ioannidis, Simar Sidhu, Clément Thorens, Andrew Xie
Coaches: Pankaj Bagga, Pei Jia
UBC Open Robotics is an Engineering Design Team primarily composed of undergraduate students in fields ranging from Engineering to Computer Science to Arts at the University of British Columbia. This was the team's first year competing in any RoboCup competition. Despite receiving the TurtleBot 2 hardware mere weeks prior to the city lockdown they were able to stay organized and effectively meet competition requirements, receiving both the RoboCup@Home Education League's Silver Award and People's Choice Award!
Development Towards World Champion
Development Towards World Champion
Speakers: The Grey Area | Macau Puiching Middle School
Date and Time:
August 03, 2020 (Mon) 15:00~17:00 (GMT+8 China/Malaysia)
August 03, 2020 (Mon) 03:00~05:00 (EDT New York)
August 03, 2020 (Mon) 09:00~11:00 (CEST Italy/France)
Highlights
An award-winning team from Macau:
Online Challenge 2020 - Gold Award (Junior)
Education Challenge 2019 - World Champion (Junior)
Technical development:
OpenPose to detect human postures
OpenVINO and YOLO for human and object detection
The Grey Area is an award-winning RoboCup@Home Education team from Macau Puiching Middle School.
RoboCup@Home Education Online Challenge 2020 - Gold Award (Junior)
RoboCup@Home Education Challenge 2019 - World Champion (Junior)
Team members:
Joshua Lei, Cristiano Afonso da Silva, Thomas Leong, Sebastien Sin
Coaches:
Thomas Lao, Kinda Lam
Introduction to Natural Language Processing
Introduction to Natural Language Processing
Speaker: Sebastian Castro | MIT CSAIL
Date and Time:
July 08, 2020 (Wed) 19:00~21:00 (GMT+8 China/Malaysia)
July 08, 2020 (Wed) 07:00~09:00 (EDT New York)
July 08, 2020 (Wed) 13:00~15:00 (CEST Italy/France)
Highlights
A quick introduction to NLP, including popular approaches, models, and Python software packages.
Basic text preprocessing, search, and parsing
Representing text as features for statistical machine learning models
Deep learning with language, including word embeddings, Recurrent Neural Networks, and Transformers
Open source code
Sebastian Castro is a robotics software engineer at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), working on home service robotics research with the Toyota Human Support Robot (HSR). He was previously the primary technical contact for RoboCup and robotics education at MathWorks. Sebastian holds a B.S. and M.S. in Mechanical Engineering from Cornell University, with a focus on dynamics, systems, and controls for robotics applications.
World Representation Through ANN
World Representation Through Artificial Neural Networks: An Introduction
Speaker: Luis Contreras | Tamagawa University
Date and Time:
June 16, 2020 (Tue) 09:00~11:00 (GMT+8 China/Malaysia)
June 15, 2020 (Mon) 21:00~23:00 (EDT New York)
June 16, 2020 (Tue) 03:00~05:00 (CEST Italy/France)
Highlights
We will present a short introduction to Artificial Neural Networks and its application to Object Recognition and we will extend those concepts to Convolutional Neural Networks. Then, we will show you a number of available applications and datasets for your projects. Finally, we will show you a specific application to robot navigation.
Open source code
Robot Localisation: An Introduction
Robot Localisation: An Introduction
Speaker: Luis Contreras | Tamagawa University
Date and Time:
June 09, 2020 (Tue) 09:00~11:00 (GMT+8 China/Malaysia)
June 08, 2020 (Mon) 21:00~23:00 (EDT New York)
June 09, 2020 (Tue) 03:00~05:00 (CEST Italy/France)
Highlights
We will present the basic concepts for robot localisation in a known map from a probabilistic point of view. We will introduce the probabilistic model for robot motion and show you how to solve this problem using particle filters. At the end, we will introduce our online tutorial to start your projects using robot vision.
Open source code
Luis Contreras received his Ph.D. in Computer Science at the Visual Information Laboratory, in the Department of Computer Vision, University of Bristol, UK, working on problems related to computer vision and robotics. Currently, he is a research fellow at the Advanced Intelligence & Robotics Research Center, Tamagawa University, Japan. He has also been an active member of the Bio-robotics Laboratory at the Faculty of Engineering, National Autonomous University of Mexico, Mexico. He has been working on service robots and has tested his latest results at the RoboCup and similar robot competitions for the last ten years.
Robotics Development with MATLAB
Robotics Development with MATLAB
Speaker: Jose Avendano | MathWorks
Date and Time:
June 03, 2020 (Wed) 19:00~21:00 (GMT+8 China/Malaysia)
June 03, 2020 (Wed) 07:00~09:00 (EDT New York)
June 03, 2020 (Wed) 13:00~15:00 (CEST Italy/France)
Highlights
ROS and MATLAB
Deep learning demos for object classification and emotion inference
Preparation
Setup complimentary MATLAB software (Request license)
Get started with self-paced tutorial videos
Open source code
Jose Avendano is a Robotics engineer from MathWorks specialized in the area of robotics education and student competitions. Other previous experience includes modeling and simulation of robot manipulators, projects on autonomous systems for deployment on zero-gravity applications, and robust estimation and control of flexible vehicles.
ROS with AI
ROS with AI [Thai]
Speaker: Kanjanapan Sukvichai | Kasetsart University
Date and Time: In Preparation
Highlights
Simulation and real robots
ROS with AI
Kanjanapan Sukvichai is an Assistant Professor at Kasetsart University.