Mechanical Engineering
Our ability to design and manufacture complex physical systems is still in its infancy when it comes to fully leveraging AI and automation. New approaches promise to transform mechanical system design, architectural planning, bioengineering, miniaturized robotics, mechanical simulation, and the real-world deployment of robots.
R&D Gaps (7)
Robots have the potential to revolutionize manufacturing, logistics, and many other industries—but only if they are both affordable and capable of high performance. Today’s robotic hardware is often prohibitively expensive and built using legacy designs that do not prioritize cost reduction, modularity, or scalability. Moreover, many robots struggle with dexterity and tactile sensing, and current design practices decouple hardware and software, preventing a co-evolution that could unlock new performance regimes. Overcoming these limitations requires a rethinking of both robot morphology and control, with an emphasis on integrated design, cost-effective production, and enhanced functionality.
Modern manufacturing systems largely rely on paradigms developed in the last century where large machines produce components smaller than themselves. This approach is increasingly limited by scaling challenges and cost inefficiencies. To meet future demands, we need to reimagine manufacturing by developing universal robotic construction systems and low-capital, high-energy manufacturing solutions that leverage emerging technologies such as advanced robotics, precision machining, and renewable energy integration. These innovations could, for example, dramatically lower the cost of machining high-performance materials like titanium or enable widespread automation in sectors like desalination.