Academic Area
Robotics
Understanding how intelligent systems act, adapt, and interact with the physical world.
Thinking About Thinking Inc. supports interdisciplinary inquiry into robotics as a core domain for understanding embodied intelligence.
This academic area brings together researchers and practitioners working across robotics, control systems, embodied AI, human–robot interaction, cognitive science, neuroscience, and applied engineering. We are interested in how intelligence emerges through action, how physical constraints shape learning and behaviour, and how systems perceive, decide, and adapt in real-world environments.
Our emphasis is on embodiment, control, and interaction, the coupling between perception, decision-making, and action that allows intelligent systems to operate beyond simulation and abstraction.
Core Questions We Explore
How does embodiment change the nature of intelligence and learning?
How should perception, control, and decision-making be integrated in autonomous systems?
What role do physical constraints play in shaping behaviour and adaptation?
How do robots learn from interaction with dynamic, uncertain environments?
What makes human–robot interaction safe, intuitive, and trustworthy?
Where do current robotic systems fall short of biological intelligence, and why?
Recordings
We publish recordings of talks, panels, and seminars to make serious thinking about artificial intelligence and machine learning accessible beyond the conference hall.
Artificial intelligence and machine learning are core themes across our flagship events.
At our AE Global Summits, we convene researchers, builders, and policymakers to examine Open Problems in AI research, infrastructure, applications, and governance.
At our Conference on the Mathematics of Neuroscience and AI we explore the deeper mathematical and computational foundations of learning and intelligence, often in dialogue with neuroscience and cognitive science.
Events
Ambassadors
Year 2025
Ambassadors
