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.




            AIhub is supported by:


Related posts :



Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Images of AI – between fiction and function

“The currently pervasive images of AI make us look somewhere, at the cost of somewhere else.”

Grace Wahba awarded the 2025 International Prize in Statistics

  16 Apr 2025
Her contributions laid the foundation for modern statistical techniques that power machine learning algorithms such as gradient boosting and neural networks.

Repurposing protein folding models for generation with latent diffusion

  14 Apr 2025
The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in biology. What comes next after protein folding?

AI UK 2025 conference recordings now available to watch

  11 Apr 2025
Listen to the talks from this year's AI UK conference.

#AAAI2025 workshops round-up 2: Open-source AI for mainstream use, and federated learning for unbounded and intelligent decentralization

  10 Apr 2025
We hear from the organisers of two workshops at AAAI2025 and find out the key takeaways from their events.

Accelerating drug development with AI

  09 Apr 2025
Waterloo researchers use machine learning to predict how new drugs could affect the body




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association