RoboCup 2023

The ATR Lab has formed teams to participate in several RoboCup challenges, including RoboCup@Home, RoboCup Rescue, and RoboCup Rescue Simulation.
About RoboCup + -

Robocup seeks to provide “a vehicle to promote robotics and AI research, by offering a publicly appealing, but formidable challenge. One of the effective ways to promote science and engineering research is to set a challenging long term goal. When the accomplishment of such a goal has significant social impact, it is called a grand challenge project.”
RoboCup Home Page

For this year’s challenge, we propose the TeleBot 3D disaster robot. The robot is a special design for search and rescue tasks in diverse and abnormal environments. It combines a hybrid of a caterpillar and wheel based mobile base with an advanced humanoid upper body. It also gives an operator maximized situation awareness through a VR-based user-view interface containing a flexible and intuitive control interface.

Image Source: RoboCup Rescue 2019, Sydney, Australia

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For this challenge, we will be participating in the Social Standard Platform League (SSPL). In the SSPL there is a particular focus on making interactions with the robot feel natural and fluid. In order to remove hardware constraints, all competitors must use the SoftBank Pepper robot. As such, we are working on a HRI system to promote the goal of natural interaction while maintaining utility.

ATR – Kent State University

Our Team

Dr Jong-Hoon Kim
Dr. Jong-Hoon Kim
ATR Lab Director
Justin Dannemiller
Student Leader
Chris Gruska
Student Leader
Derron Ward
Student Researcher
Keith Machina
Student Researcher
Stefan Hendricks
Student Researcher
Bailey Wimer
Student Researcher
Mohammad Shahin
Student Researcher
Samuel Kim
High School Intern
Sean Peters
Student Researcher
Maram Mahmoudi
Student Researcher
Zeina Kamel
Student Researcher
Mustafa Al-Senaidi
Student Researcher
Ikrame Rekabi
Student Researcher
Sophia Matar
Student Researcher

Team Advisory Board

Dr Jong-Hoon Kim
Dr. Jong-Hoon Kim
ATR Lab Director
Xiangxu Lin
System Architecture Mentor
Alfred Shaker
Virtual Reality Mentor
Aditi Singh
AI Mentor
Saifuddin Mahmud
ML Tech Mentor
Mohammad Insanur Rahman Shuvo
Emotion Engine
Irvin Cardenas
Irvin Cardenas
Project Mentor
Deepshikha Bhati
Project Mentor

ATR – Kent State University

Our Robots

Robot-Home

We are utilizing tensorflow lite throughout the project for recognition purposes. Face reccognition uses the facenet model while we are utilizing YOLOv8 for object recognition.