Online Classroom

RoboCup@Home Education

Invited Lecture Series

Schedule

June 03, 2020 (Wed) 19:00~21:00 (GMT+8) | Jose Avendano

June 09, 2020 (Tue) 09:00~11:00 (GMT+8) | Luis Contreras

June 16, 2020 (Tue) 09:00~11:00 (GMT+8) | Luis Contreras

In Preparation | Kanjanapan Sukvichai

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

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.

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 08, 2020 (Mon) 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.

World Representation Through Artificial Neural Networks: An Introduction

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 15, 2020 (Mon) 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.

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.

ROS with AI

ROS with AI [Thai]

Speaker: Kanjanapan Sukvichai | Kasetsart University

Time: In Preparation

Highlights

  • Simulation and real robots
  • ROS with AI

Kanjanapan Sukvichai is an Assistant Professor at Kasetsart University.