Swarming service robots? How human-multi-robot collaborative teams will tackle real-world problems
What innovations can increase the adoption of robotics more widely in the commercial sector? Rather than focus on complexity to enable such robots to operate in challenging environments, Simon Shakespeare makes the case for less sophisticated but more specialised robots working in collaborative teams.
Advanced statistical testing to reduce development costs and improve machine reliability
Testing an automation system, a robot or a complex high-value machine for reliability is a long, expensive, and challenging part of product development. Simon Shakespeare sees a future where product design for reliability is increasingly informed by simulations and statistical approaches to testing, giving engineers confidence in a design before any hardware prototype has been committed to production.
How to build working AI models when you are short on training data: AI as part of the business transformation toolkit (Part 3)
The sights of Artificial Intelligence (AI) can be trained on almost any business problem that will benefit from automation. But what if training data for your problem is in short supply? In this blog, Simon Shakespeare shares a few tricks for training AI without reinventing the algorithmic wheel or by creating training data out of thin air.
AI – The Blinking Red Warning Light
In the second post of his series, Simon Shakespeare responds to a concern that AI might soon hit some long-anticipated roadblocks and finds reassurance in the many other AI tools still left in the engineer’s toolbox.
Layer-by-layer NDT for additive manufacturing: a new paradigm in quality assurance
Additive manufacturing (“AM” popularly called “3D printing”) is often seen as a way to produce unique parts, but a much less discussed, though generally more beneficial, feature of the technology is the “complexity-for-free” aspect.
Fashion or Future? AI as part of the business transformation toolkit
Artificial Intelligence could be the solution to all our woes or the most over-hyped technology of our age. Even defining AI can seem problematical, given that we have trouble defining what regular intelligence is. Does that mean AI is over-rated, or just that our expectations of what it can do are over-inflated? How does AI really fit into the toolkit for business transformation?