ΑΙhub.org
CLAIRE and euRobotics: all questions answered on humanoid robotics
On 9 December, CLAIRE and euRobotics jointly hosted an All Questions Answered (AQuA) event. This one hour session focussed on humanoid robotics, and participants could ask questions regarding the current and future state of AI, robotics and human augmentation in Europe.
The questions were fielded by an expert panel, comprising:
- Rainer Bischoff, euRobotics
- Wolfram Burgard, Professor of Robotics and AI, University of Technology Nuremberg
- Francesco Ferro, CEO, PAL Robotics
- Holger Hoos, Chair of the Board of Directors, CLAIRE
The session was recorded and you can watch in full below:
tags: CLAIRE, quick read
AIhub
is dedicated to free high-quality information about AI.
AIhub
is dedicated to free high-quality information about AI.
AIhub is supported by:
Related posts :
Machine learning for atomic-scale simulations: balancing speed and physical laws
How much underlying physics can we safely “shortcut” without breaking a simulation?
Policy design for two-sided platforms with participation dynamics: Interview with Haruka Kiyohara
Lucy Smith
09 Oct 2025
Studying the long-term impacts of decision-making algorithms on two-sided platforms such as e-commerce or music streaming apps.
The Machine Ethics podcast: What excites you about AI? Vol.2
The Machine Ethics Podcast
08 Oct 2025
This is a bonus episode looking back over answers to our question: What excites you about AI?
Interview with Janice Anta Zebaze: using AI to address energy supply challenges
Lucy Smith
07 Oct 2025
Find out more about research combining renewable energy systems, tribology, and artificial intelligence.
How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard
The Conversation
06 Oct 2025
Early research is only beginning to scratch the surface of how AI technology will truly affect learning and cognition in the long run.
Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors
Lucy Smith
03 Oct 2025
Find out more about research developing scalable and adaptive deep learning frameworks.
Diffusion beats autoregressive in data-constrained settings
ML@CMU
03 Oct 2025
How can we trade off more compute for less data?
Forthcoming machine learning and AI seminars: October 2025 edition
Lucy Smith
02 Oct 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 3 October and 30 November 2025.