When we think about robotics, we often picture humanoid machines. But robotics isn’t really about robots—it’s about value capture. At its core, much of robotics will become a data problem rather than just an engineering challenge.
The biggest mistake in robotics is starting with the hardware. Instead, the focus should be on solving the problem first. By separating the intelligence (software, AI, data processing) from the form factor (the physical robot), companies can build more adaptable and scalable solutions.
A recent discussion at the Stanford Robotics Center highlighted three key trends shaping the future of robotics:
1. The Continuing Promise of Transformers – Large AI models are revolutionizing how robots process and generate information, making them more adaptable to real-world tasks.
2. Computer Vision Applied to Robotics – Advances in AI-powered vision systems allow robots to see, understand, and interact with their environments with greater accuracy than ever before and replace all other sensors.
3. Security for Edge Applications – As robots operate closer to the edge (in warehouses, factories, and even homes), securing real-time data processing and connectivity becomes critical.
Successful robotics companies of the future won’t just be building robots—they’ll be solving high-value problems with intelligent, data-driven systems.
This post was first published on LinkedIn in March 2025
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