Incheon
#RoboCup2026 social media round-up
This year, RoboCup took place in Incheon, South Korea, from 2-6 July. The event saw teams take part in competitions, training sessions, and a symposium. Take a look at what the participants got up to in our round up from social media. RoboCup 2026 officially begins today! A post shared by RoboCup Federation (@robocup.official)
Congratulations to the 2026 EurAI distinguished service award winners
The EurAI Distinguished Service Award started in 2012, and it is presented annually to individuals who have made exceptional contributions to the European AI community. This year, the award goes to two researchers: Jérôme Lang and Luc de Raedt. Find out who won the small, middle and large divisions in Incheon. Find out the latest from day two of the competition. In the first of our round-ups from the humanoid league we introduce the competition, and report some preliminary results.
#RoboCup2026 – humanoid league knockout stages
This weekend saw the finale of the league competitions at RoboCup 2026 in Incheon, South Korea, with the winners in the small, middle, and large humanoid divisions decided. You can watch the action from one of the semi-finals in the middle division, which saw HTWK take on Rhoban. Although the competitions have drawn to a close, RoboCup 2026 continues today with a symposium, which brings together researchers and practitioners from around the world to present and discuss innovative research in robotics and artificial intelligence. You can find out more here . Lucy Smith is Senior Managing Editor for Robohub and AIhub.
What's coming up at #RoboCup2026?
This year, RoboCup will be held in Incheon, South Korea, from 2-6 July. The event will see teams take part in competitions, training sessions, and a symposium. It's an exciting time for RoboCup, as there have been some updates to the leagues and competition format . Most prominently, the soccer leagues will have a primary focus on humanoid robots. A workshop focused on sharing projects, experiences, and innovations in educational robotics.
SSDM: Scalable Speech Dysfluency Modeling
However, there are three challenges.
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation Qingkai Fang 1,2, Y an Zhou 1,2, Y ang Feng 1,2 1
In this paper, we propose DASpeech, a non-autoregressive direct S2ST model which realizes both fast and high-quality S2ST.
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
We contend that utilizing existing relational databases is a promising approach to construct a benchmark that has both merits.
