Online Classroom

RoboCup@Home Education Online Classroom

Invited Lecture Series

Robotics Development with MATLAB [English]

  • Wednesday 19:00~ (GMT+8) | June 03, 2020

Robot Localisation: An Introduction [English]

  • Tuesday 09:00~ (GMT+8) | June 09, 2020

World Representation Through Artificial Neural Networks: An Introduction [English]

  • Tuesday 09:00~ (GMT+8) | June 16, 2020

ROS with AI [Thai]

  • In Preparation | July, 2020

Regular Online Classroom Tracks

Introduction to Service Robotics [English]

  • Every Tuesday 10:00~ (GMT+8) | Mar 25 ~ Apr 28, 2020

Service Robot Development [English]

  • In Preparation

Service Robot Development [Chinese]

  • In Preparation

Special Online Challenge Tracks

Open Platform Online Classroom [English]

  • Every Thursday 10:00~ (GMT+8) | Apr 16 ~ May 21, 2020

Open Platform Online Classroom [Chinese]

  • Every Wednesday 19:00~ (GMT+8) | Apr 22 ~ May 20, 2020

Standard Platform Pepper 2.9 Online Classroom [English]

  • Every Thursday 19:00~ (GMT+8) | Apr 16 ~ May 21, 2020

Standard Platform Pepper 2.5 Online Classroom [Chinese]

  • Every Tuesday 19:00~ (GMT+8) | Apr 28 ~ May 26, 2020

OP & SP Online Support Session [Italian]

SP Pepper 2.9 Online Support Session [English]

Invited Lecture Series

Robotics Development with MATLAB

Speaker: Jose Avendano | MathWorks

Date and Time: June 03, 2020 (Wed) 19:00~21:00 (GMT+8)

Highlights

  • ROS and MATLAB
  • Deep learning demos for object classification and emotion inference
  • Complimentary MATLAB software

Robot Localisation: An Introduction

Speaker: Luis Contreras | Tamagawa University

Date and Time: June 09, 2020 (Tue) 09:00~11:00 (GMT+8)

Highlights

  • Probabilistic in robot localisation
  • Probabilistic model for robot motion and particle filters
  • ROS application and tutorial

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)

Highlights

  • Artificial Neural Networks and its application to Object Recognition
  • Convolutional Neural Networks

ROS with AI [Thai]

Speaker: Kanjanapan Sukvichai | Kasetsart University

Time: In Preparation

Highlights

  • Simulation and real robots
  • ROS with AI

Introduction to Service Robotics

Syllabus

01.00 Introduction

      • Background and Motivation
      • How You Can Be Involved

02.00 Service Robot System

      • Overview
      • Development Setup

03.00 Robot Software Development

      • ROS Basics
      • ROS Publisher & Subscriber

04.00 Robot Speech Interaction

      • Speech Synthesis
      • Speech Recognition

05.00 Robot Visual Perception

      • RGB-D Sensing
      • Image Processing

06.00 Robot Navigation

      • SLAM Map Building (Simulation)
      • Autonomous Navigation (Simulation)

Course Information

Instructor: Jeffrey Tan

Length: 6 weeks

Effort: 8-10 hours per week

Subject: Robotics

Level: Basic

Language: English

Prerequisites:

  • Python