We are the Robotics, Evolution and Art Lab, based at the IT University of Copenhagen. Our vision is to do research on the border between fiction and fact, to create new, feasible solutions for the society of tomorrow. The lab has an interdisciplinary experimental practice and explores what-if scenarios using fundamental science and engineering to work towards the realization of these scenarios. Academically, the group is rooted in artificial intelligence with specific interests in robotics and evolutionary computation, but generally the research agenda is driven by opportunities arising both within science and in society.
An online, multiplayer, neural network based game. Try out the game and see if your team can communicate safely without the neural network’s comprehension.
Evocraft (Evolution + Minecraft) - A python framework for open-endedness research with Minecraft
Modular Robots, Evolutionary Robotics, Liquid Handling Robots, Automatic Design of Robots
Virtual and Mixed Reality, Immersive Interaction, Computer Animation
Modular robots, Lab automation, Multi-robot systems, Swarm robotics, Evolutionary robotics, Robot learning, Unconventional robots (braid robotics)
Swarm robotics, Evolutionary robotics, Collective intelligence, Bio-inspired computation, self-organizing systems, Complex systems
Neuroevolution, Neural networks, Evolutionary algorithms, Evolutionary robotics, Generative and developmental systems, Procedural content generation, Game AI, Computational intelligence
Deep Reinforcement Learning, Open-Endedness, Self-Organisation, Neuro-Logic, Interpretable AI, Creative AI, Continual Learning, Number Theory, Algebraic Geometry
Emergence, Reinforcement Learning, Safety
Evolutionary Robotics, Developmental Robotics, Embodied Intelligence, Morphological Computation, Soft Robots, Unconventional robots (braid robotics)
Complexity, Multi-Scale Systems, Adaptation, Feedback, Downward Causation, Collective Computation
socially assistive robots, Human-robot interaction, Reinforcement Learning, context comprehension in robotics
Unsupervised Learning, Probabilistic Modelling, Graph Neural Networks, Model Based Reinforcement Learning
Modular Robots, Artificial Intelligence, Emergence, Lab Automation, Evolutionary Robotics
Complexity, Evolutionary Computation, Meta-Learning, Open-Endedness
Reinforcement learning, Player modelling, Curriculum Learning
Evolved Plastic Artificial Neural Networks, Qualitiy Diversity, Computational Neuroscience, Meta-learning, Indirect Encoding
Game Development, Mixed-Initiative Tools, Artificial Intelligence
Bayesian Inference, Model-Based Machine Learning, Neural Networks, HumanAI, Adversarial Attacks on Neural Networks, Ensemble Methods
Dynamic Difficulty Adjustment, Generative models, Differential Geometry
Evolutionary Robotics, Neuroevolution, Meta-learning, Complex Systems, Computational Neuroscience, Open-Endedness, Unconventional Computing
Neuroevolution, Plasticity, Lifelong Machine Learning
Robotics, Lab automation, Artificial intelligence
Flow Robotics produces flexible and user-friendly liquid handling robots for automation of pipetting tasks in laboratories.
Rued Langgaards Vej 7
2300 København S
Our offices are located at Emil Holms Kanal, 2F18.
Our Lab is located at RLV 7, 5A20/22.