Archive for 'Robotics' Category:

Mehmet, Bruce and Dan at Automate 2017
By Bruce Ackman: Thursday 13th April, 2017

Reflections on Automate 2017

With a great deal of the popular press discussing the coming robot revolution, my colleagues Mehmet Kaya, Dan Viner and I attended the Automate show at McCormick Place last week in Chicago. This event hosts more than 400 exhibitors showcasing a wide range of technologies designed, developed and sold to help improve productivity, quality and […]

Chris Roberts
By Chris Roberts: Friday 24th March, 2017

Vlog: How much of a threat are robots to British jobs?

“30% of existing UK jobs could face automation over the next 15 years” – is quite a headline, taken from the latest UK Economic Outlook report by PwC, which has received widespread coverage in the UK press today. Chris Roberts, Head of Industrial Robotics, shares his thoughts in this video blog. Transcript There have been […]

A team of young Engineers wins the FIRST LEGO League UK, the future faces of robotics
By Dave Gladwin: Friday 3rd March, 2017

Young Cambridgeshire engineers win Lego robot building competition

It was great to hear on BBC Radio Cambridgeshire this morning that a team of young engineers from Royston and Cambridge had won a FIRST LEGO League UK robot building competition. The team of six friends aged between nine and 16 called B6 Berrellium had to build an autonomous robot that had to successfully complete […]

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By Mehmet Kaya: Tuesday 22nd November, 2016

The Cobots are coming!

What does serving ice cream have in common with tending a CNC machine? Both can be performed by Cobots. The International Manufacturing Technology Show (IMTS) is one of the largest industrial trade shows in the world, featuring 2,407 exhibiting companies and 115,612 registrants. The event is held every two years in September at McCormick Place […]

fruit-picking-robot
By Niall Mottram: Monday 21st November, 2016

The Art of the Possible, but Commercially Viable

What links Donald Trump, Rethink Robotics and John Deere? At first glance not much, but dig deeper and some common themes emerge, driven by cause and effect. Let’s start with the cause. There have been acres of print and digital coverage devoted to the election result of November 8, so this blog will steer clear […]

robothand
By Mehmet Kaya: Thursday 10th November, 2016

Part Two: The Empire Strikes Back

Cobots were officially “invented” in 1996 by J. Edward Colgate and Michael Peshkin, professors at North-Western University. They were granted patents US 5,923,139 and US 5,952,796. They called the Cobots initially “Programmable Constraint Machines” (PCM). In this patent definition, it was indicated that PCM is a robot for direct physical interaction with a human co-workers, […]

soil
By Simon Jordan: Monday 31st October, 2016

Personal Agriculture

It’s been clear over the last century that farms are getting bigger. The economics of a big scale farm are better, and the risk of failure is diluted. However, the level of manpower available to do the work is spread more thinly, meaning bigger and more effective machines are needed. The drawback, however, of driving […]

agritech
By Chris Roberts: Monday 17th October, 2016

Apples vs Oranges… vs Lasers?

I gave a talk at the Agri-Tech East pollinator on Robo-Cropping last Tuesday (see slides below), and there were some really interesting contrasts at the conference. Before we went, one of my colleagues, Niall said “You’ll like this conference, they’ll be talking about using lasers to kill weeds”. I was definitely looking forward to it! One […]

Fruit farm
By Chris Roberts: Monday 10th October, 2016

Automated Harvesting – is the juice worth the squeeze?

I’m attending the Agritech East pollinator on Tuesday, all about the potential of precision robotics in agriculture. My talk is about automated harvesting, and where robotics is and isn’t relevant. It’s clear that agriculture has many tasks, currently done by humans, which are amenable to some level of automation. That human labour is becoming more expensive and […]

How long until a computer can recognise this cat on the street, with only these two photos to go on?
By Sarah Lewis: Monday 26th September, 2016

Big data, little data

Chris wrote earlier this year  that we’ve been experimenting with DCNNs (deep convolutional neural networks)  for machine vision, using our fruit-picking robot as a toy application. It’s time for an update. To start with, some explanation. Machine image recognition is based on ‘features’. A feature is any measurable property of an image, for example the […]