ΑΙhub.org
 

#RoboCup2019 @Home – competition setup and first day

by
04 July 2019



share this:

I’ll be reporting three sub-leagues of RoboCup @Home (domestic standard, social, and open platform).

Preparation
Yesterday the teams were getting the final details down, acquiring the map information of the arenas, doing safety inspections for all the participating robots and meeting with their team leaders to clarify outstanding details for the competition to begin on Thursday.

As an additional portion of the competition all teams did a 3-minute poster presentation highlighting the research and methods that make it possible for their teams to compete.

First day of competition
Today, across all sub-leagues of @Home, the teams had two major blocks of tests: the first one was related to housekeeping tasks (throwing out the trash, serving breakfast or cleaning up misplaced objects) and the second one were related to tasks under a house party scenario (welcoming new guests, finding them a drink or walking them out). Among the major challenges involved in housekeeping tasks is correctly recognizing and manipulating objects which can be of many sizes. In the social interactions, the teams had to deal with keeping interactions as natural as possible as well as safe for the people acting as volunteer party attendants. Tomorrow there will be one more round of combined tasks (housekeeping and party scenario) before the top teams are selected for the second round.



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 :



AIhub coffee corner: Open vs closed science

The AIhub coffee corner captures the musings of AI experts over a short conversation.
26 April 2024, by

Are emergent abilities of large language models a mirage? – Interview with Brando Miranda

We hear about work that won a NeurIPS 2023 outstanding paper award.
25 April 2024, by

We built an AI tool to help set priorities for conservation in Madagascar: what we found

Daniele Silvestro has developed a tool that can help identify conservation and restoration priorities.
24 April 2024, by

Interview with Mike Lee: Communicating AI decision-making through demonstrations

We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
23 April 2024, by

Machine learning viability modelling of vertical-axis wind turbines

Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the turbine blades.
22 April 2024, by

The Machine Ethics podcast: What is AI? Volume 3

This is a bonus episode looking back over answers to our question: What is AI?
19 April 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association