ΑΙhub.org
#RoboCup2019 @Home – 2nd round
After three test blocks, about half of the teams in all three sub-leagues advanced to the 2nd round of the competition.
One new challenge in this second round involved a restaurant task. In this task, the robots left their controlled environments in the @Home arena and took over the restaurant at the venue. The robots were asked to detect and approach people sitting in the tables and ask for their orders. Then the robots had to navigate the environment to fetch their order and present it back to them.
The second round finishes this afternoon, determining which teams will advance to the finals.
tags: RoboCup
Maru Cabrera
is Research Associate at University of Washington.
Maru Cabrera
is Research Associate at University of Washington.
AIhub is supported by:
Related posts :
Deploying agentic AI: what worked, what broke, and what we learned
Real World Data Science
15 Sep 2025
AI scientist and researcher Francis Osei investigates what happens when Agentic AI systems are used in real projects, where trust and reproducibility are not optional.
Memory traces in reinforcement learning
Onno Eberhard
12 Sep 2025
Onno writes about work presented at ICML 2025, introducing an alternative memory framework.
Apertus: a fully open, transparent, multilingual language model
EPFL
11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.
Interview with Yezi Liu: Trustworthy and efficient machine learning
Lucy Smith
10 Sep 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
Advanced AI models are not always better than simple ones
EPFL
09 Sep 2025
Researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.
The Machine Ethics podcast: Autonomy AI with Adir Ben-Yehuda
The Machine Ethics Podcast
08 Sep 2025
This episode Adir and Ben chat about AI automation for frontend web development, where human-machine interface could be going, allowing an LLM to optimism itself, job displacement, vibe coding and more.
Using generative AI, researchers design compounds that can kill drug-resistant bacteria
MIT News
05 Sep 2025
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour
Agata Ciabattoni and Emery Neufeld
04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.