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 :



Optimizing LLM test-time compute involves solving a meta-RL problem

  20 Jan 2025
By altering the LLM training objective, we can reuse existing data along with more test-time compute to train models to do better.

Generating a biomedical knowledge graph question answering dataset

  17 Jan 2025
Introducing PrimeKGQA - a scalable approach to dataset generation, harnessing the power of large language models.

The Machine Ethics podcast: 2024 in review with Karin Rudolph and Ben Byford

Karin Rudolph and Ben Byford talk about 2024 touching on the EU AI Act, agent-based AI and advertising, AI search and access to information, conflicting goals of many AI agents, and much more.

Playbook released with guidance on creating images of AI

  15 Jan 2025
Archival Images of AI project enables the creation of meaningful and compelling images of AI.

The Good Robot podcast: Lithium extraction in the Atacama with Sebastián Lehuedé

  13 Jan 2025
Eleanor and Kerry chat to Sebastián Lehuedé about data activism, the effects of lithium extraction, and the importance of reflexive research ethics.

Interview with Erica Kimei: Using ML for studying greenhouse gas emissions from livestock

  10 Jan 2025
Find out about work that brings together agriculture, environmental science, and advanced data analytics.

TELL: Explaining neural networks using logic

  09 Jan 2025
Alessio and colleagues have developed a neural network that can be directly transformed into logic.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association