The Centre for Emerging Technology and Security report makes a clear case that AI is about to fundamentally reshape robotics, pushing machines beyond rigid, rules-based systems into adaptive, learning-driven agents that can navigate, decide, and interact in real time. The trajectory points toward robots that generalize across environments and learn from experience, bringing them closer to human-like flexibility by 2035.
What stands out is the gap between innovation and real-world adoption, which is framed as the actual constraint rather than raw capability. The report argues that progress now depends less on model breakthroughs and more on infrastructure such as shared datasets, testing environments, and trust frameworks, especially as these systems carry national security implications.