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.




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




            AIhub is supported by:


Related posts :



Keeping learning-based control safe by regulating distributional shift

We propose a new framework to reason about the safety of a learning-based controller with respect to its training distribution.
30 September 2022, by

Bipedal robot achieves Guinness World Record in 100 metres

Cassie the robot, developed at Oregon State University, records the fastest 100 metres by a bipedal robot.
29 September 2022, by

#IJCAI2022 distinguished paper – Plurality veto: A simple voting rule achieving optimal metric distortion

How can we create a voting system that best represents the preferences of the voters?
28 September 2022, by

AIhub monthly digest: September 2022 – environmental conservation, retrosynthesis, and RoboCup

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
27 September 2022, by

The Machine Ethics Podcast: Rights, trust and ethical choice with Ricardo Baeza-Yates

Host Ben Byford chats to Ricardo Baeza-Yates about responsible AI, the importance of AI governance, questioning people's intent to create AGI, and more.
26 September 2022, by

Recurrent model-free RL can be a strong baseline for many POMDPs

Considering an approach for dealing with realistic problems with noise and incomplete information.
23 September 2022, by





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association