ΑΙhub.org
 

#RoboCup2019 @Home finals


by
08 July 2019



share this:


For the final stage of the @Home competition, the top 2 teams were selected in each of the sub-leagues (domestic, social and open platforms) to perform demos inside a 10 minute window followed by 5 minutes of questions from the judges. The scoring judges were comprised by trustee board members, external judges and members of the technical and organizing committees.

Social Standard Platform League
Uchile (2nd place) and UTS (1st place)

Chile showed an episodic memory demo based on their ongoing research, while UTS showed pepper as a social robot interacting with the “owner of the house” navigating environments and searching the house for the owner’s daughter.

Domestic Standard Platform League
Tidyboy (2nd place) and TUe (1st place)

Tidyboy did a demo about a manipulation task where the robot opened a cabinet door to get a juice, and then a snack from the kitchen table. It then placed both in a wheeled cart that it grabbed and took to the livingroom for a house guest.

TUe first showed how the robot understands pointing at objects in the room related to their research on human behavior recognition. Afterwards, they did a party demo where the robot recognized people in the livingroom and interfaced with a periscope app on a phone to get people’s drink orders. The robot then proceeded to navigate to the fridge, pushing a cart, to bring back multiple drinks at once and asked help from a bartender to get drinks from the fridge

Open Platform League
Pumas (2nd place) and Homer (1st place)

Pumas’ demo included both their robots from OPL and DSPL and showed how the robots can collaborate with tasks using cloud services like Alexa in social tasks like the robot party host.

As part of Homer’s final demo, they showed links to their ongoing research using their two open-platform robots about autonomous mapping, and adaptive learning from demonstration. As their last task of the demo they showcased the robot cleaning the toilet as part of a manipulation task that involves the use of contact forces.



tags:


Maru Cabrera is Research Associate at University of Washington.
Maru Cabrera is Research Associate at University of Washington.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

#RoboCup2026 – humanoid league knockout stages

  06 Jul 2026
Find out who won the small, middle and large divisions in Incheon.

#RoboCup2026 – humanoid league day 2

  03 Jul 2026
Find out the latest from day two of the competition.

#RoboCup2026 – humanoid league day 1

  02 Jul 2026
In the first of our round-ups from the humanoid league we introduce the competition, and report some preliminary results.

Adaptive parallel reasoning: the next paradigm in efficient inference scaling

  02 Jul 2026
A detailed analysis of recent progress in the field of parallel reasoning.

Scientists develop new method to generate protein datasets for training AI

  01 Jul 2026
AI is only as good as the data used to train it, and in some areas of protein engineering, the right data is hard to come by.

What’s coming up at #RoboCup2026?

  29 Jun 2026
Find out what's in store at this year's international competition.

AI model used to generate complete models of proteins in motion

  26 Jun 2026
Researchers have used a neural network to create all-atom models of proteins, as well as the dynamic movements that govern their function.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence