Open AI are training robots through the use of VR
Not content with building the world’s first hyperloop or launching the heaviest satellite into orbit, Elon Musk’s OpenAI organisation is now training robots through the use of VR to perform basic tasks after seeing the task done once through an innovative robotics system.
Through one-shot imitation learning, humans inform how to do a task to the robot through VR, which is then undertaken by the robot. The robotics system harnesses two neural networks, one being the vision network, and the other the imitation network. Whilst the vision network enables the robot to see an image, the imitation network processes the image and enables the imitation of key tasks.
Designers were able to build a robot, upon viewing the stacking of blocks through VR simulation, was then able to perform this basic task as a result of the neural networks.
Josh Tobin, a member of the technical staff at OpenAI said in a video, "infants are born with the ability to imitate what other people do. Imitation allows humans to learn new behaviours rapidly. We would like our robots to be able to learn this way too."
Launched in 2015, OpenAI has received approximately $1 billion in funding from Musk, LinkedIn co-founder Reid Hoffman and PayPal co-founder Peter Theil amongst others to undertake significant research in Ai, with over 50 researchers undertaking long-term technological discoveries. Around 36 percent of US companies are now utilising AI and robotics, according to a global survey, of which the figure is only set to rise. It will be interesting to see how the development of AI and robotics impacts on the workplace and how it will revolutionise the employment sector.
Take a look at OpenAI's video of recent developments: https://player.vimeo.com/video/217578517
Intelliwave SiteSense boosts APTIM material tracking
“We’ve been engaged with the APTIM team since early 2019 providing SiteSense, our mobile construction SaaS solution, for their maintenance and construction projects, allowing them to track materials and equipment, and manage inventory.
We have been working with the APTIM team to standardize material tracking processes and procedures, ultimately with the goal of reducing the amount of time spent looking for materials. Industry studies show that better management of materials can lead to a 16% increase in craft labour productivity.
Everyone knows construction is one of the oldest industries but it’s one of the least tech driven comparatively. About 95% of Engineering and Construction data captured goes unused, 13% of working hours are spent looking for data and around 30% of companies have applications that don’t integrate.
With APTIM, we’re looking at early risk detection, through predictive analysis and forecasting of material constraints, integrating with the ecosystem of software platforms and reporting on real-time data with a ‘field-first’ focus – through initiatives like the Digital Foreman. The APTIM team has seen great wins in the field, utilising bar-code technology, to check in thousands of material items quickly compared to manual methods.
There are three key areas when it comes to successful Materials Management in the software sector – culture, technology, and vendor engagement.
Given the state of world affairs, access to data needs to be off site via the cloud to support remote working conditions, providing a ‘single source of truth’ accessed by many parties; the tech sector is always growing, so companies need faster and more reliable access to this cloud data; digital supply chain initiatives engage vendors a lot earlier in the process to drive collaboration and to engage with their clients, which gives more assurance as there is more emphasis on automating data capture.
It’s been a challenging period with the pandemic, particularly for the supply chain. Look what happened in the Suez Canal – things can suddenly impact material costs and availability, and you really have to be more efficient to survive and succeed. Virtual system access can solve some issues and you need to look at data access in a wider net.
Solving problems comes down to better visibility, and proactively solving issues with vendors and enabling construction teams to execute their work. The biggest cause of delays is not being able to provide teams with what they need.
On average 2% of materials are lost or re-ordered, which only factors in the material cost, what is not captured is the duplicated effort of procurement, vendor and shipping costs, all of which have an environmental impact.
As things start to stabilise, APTIM continues to utilize SiteSense to boost efficiencies and solve productivity issues proactively. Integrating with 3D/4D modelling is just the precipice of what we can do. Access to data can help you firm up bids to win work, to make better cost estimates, and AI and ML are the next phase, providing an eco-system of tools.
A key focus for Intelliwave and APTIM is to increase the availability of data, whether it’s creating a data warehouse for visualisations or increasing integrations to provide additional value. We want to move to a more of an enterprise usage phase – up to now it’s been project based – so more people can access data in real time.