ΑΙhub.org
#RoboCup2019 Rescue Rapidly Manufactured Robots Challenge #RMRC
I was at RoboCup last week in Sydney as part of the Junior League. Here’s a quick video tour of RoboCup, and a behind the scenes look at the Rapidly Manufactured Robot Challenge (RMRC), which is part of the RoboCupRescue Robot competition.
RMRC promotes the development of low cost, rapidly manufacturable small (30 cm width) robots and robotic components that enable responders to more safely and effectively perform hazardous mission tasks. Students from high school through to graduate students and early career researchers compete against the same challenges.
tags: RoboCup
Matej Veber
AIhub is supported by:
Related posts :
New AI technique sounding out audio deepfakes
CSIRO
21 Nov 2025
Researchers discover a smarter way to detect audio deepfakes that is more accurate and adaptable to keep pace with evolving threats.
Learning robust controllers that work across many partially observable environments
Maris Galesloot
20 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.
ACM SIGAI Autonomous Agents Award 2026 open for nominations
ACM SIGAI
19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.
Interview with Mario Mirabile: trust in multi-agent systems
Lucy Smith
18 Nov 2025
We meet ECAI Doctoral Consortium participant, Mario, to find out more about his research.
Review of “Exploring metaphors of AI: visualisations, narratives and perception”
Cinzia Pusceddu and We and AI
17 Nov 2025
A curated research session at the Hype Studies Conference, “(Don’t) Believe the Hype?!” 10-12 September 2025, Barcelona.
Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design
Astrid Rakow
13 Nov 2025
Autonomous systems increasingly face value-laden choices. This blog post introduces the idea of designing “conflict-sensitive” autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values.
Generations in Dialogue: Human-centric AI and collaborative AI systems with Professor Andreea Bobu
Listen to the second episode in this new series from AAAI.
Learning from failure to tackle extremely hard problems
ML@CMU
12 Nov 2025
This blog post is based on the work "BaNEL: Exploration posteriors for generative modeling using only negative rewards".