Robot innovation is moving forward at a fast pace – to the point where some manufacturers are now deploying sensors in their robots, giving them the ability to “feel” and “touch”.
Innovation in robotics is moving ahead at a fast pace, spearing ahead the expected proliferation of robots in new and existing applications. Deploying sensors in robotics allows for the creation of robots that can “see” and “feel”, in a biomimetic way, like humans do. These sensor enabled, advanced robots are now able to undertake more complicated tasks and are being deployed into industrial, commercial, domestic, logistic and other sectors where robot penetration was previously limited. The market for robotic vision and force sensing alone is expected to reach over $16.1 billion by 2027, as described in the newly launched IDTechEx report Sensors for Robotics: Technologies, Markets and Forecasts 2017-2027. The graph below is a plot of the forecasted short term growth of the value of vision systems deployed in industrial and collaborative robots, which represent only a segment of robotic systems impacted by the development of sensing platforms with extensive capabilities.
But why are we experiencing such fast adoption at this point in time?
Revenues of vision systems in industrial and collaborative robots
Software advances hand in hand with hardware innovation
Early robots were limited in performing tasks under highly organized conditions, with increased safety measures, due to their limited perception of any changes in their operational environments. Applying Artificial Intelligence (AI) concepts in robotics, allows for reducing these limitations. Performance optimization through robotic sensing is allowing for decision making capabilities of new generations of robots based on processing of sensor data (such as visual, tactile etc.) gathered from their operational environment. Data-driven task performance is allowing for higher precision even under conditions of increased randomness. In essence, robots with increased awareness are becoming better at performing the actions they are tasked with and capable of performing additional actions, previously thought of as too complex for robotic systems. These improvements are enabling robot deployment in more demanding application spaces, a key explanation for the expected accelerated proliferation of sensor driven robotic systems.
Key enablers of this robotic revolution can be found in both software and hardware development efforts that have allowed for the creation of advanced sensor platforms and processing algorithms, along with intuitive, user friendly interfaces.
Henrik Christensen, the Executive Director of the Institute for Robotics and Intelligent Machines at Georgia Institute of Technology in Atlanta, Georgia, sees tremendous potential for robots coupled with such capabilities, especially as prices are coming down. He said back in 2015: “We’re getting much cheaper sensors than we had before. It’s coming out of cheap cameras for cell phones, where today you can buy a camera for a cell phone for $8 to $10. And we have enough computer power in our cell phones to be able to process it. The same thing is happening with laser ranging sensors. Ten years ago, a modest quality laser range sensor would be $10,000 or more. Now they’re $2,000.”
All in all, machine vision and force sensing enable the design of more versatile, safer robots for a wider range of applications. Of course, different sensing systems fit different application spaces, hence, the variety of robots under development each have specific requirements and sensor platforms with the right type of features.
End effector force sensing revenues in industrial and collaborative robots
UN calls for electronics overhaul to beat e-waste
Seven UN entities have come together at the World Economic Forum to tackle the escalating scourge of electronic waste.
Seven UN entities have come together, supported by the World Economic Forum, and the World Business Council for Sustainable Development (WBCSD) to call for an overhaul of the current electronics system, with the aim of supporting international efforts to address e-waste challenges.
The report calls for a systematic collaboration with major brands, small and medium-sized enterprises (SMEs), academia, trade unions, civil society and associations in a deliberative process to reorient the system and reduce the waste of resources each year with a value greater than the GDP of most countries.
Each year, approximately 50 million tonnes of electronic and electrical waste (e-waste)
Less than 20% of this is recycled formally. Informally, millions of people worldwide (over 600,000 in China alone) work to dispose of e-waste, much of it done in working conditions harmful to both health and the environment.
The report, “A New Circular Vision for Electronics – Time for a Global Reboot,” launched in Davos 24 January, says technologies such as cloud computing and the Internet of Things (IoT), support gradual “dematerialization” of the electronics industry.
Meanwhile, to capture the global value of materials in the e-waste and create global circular value chains, the report also points to the use of new technology to create service business models, better product tracking and manufacturer or retailer take-back programs.
The report notes that material efficiency, recycling infrastructure and scaling up the volume and quality of recycled materials to meet the needs of electronics supply chains will all be essential for future production.
And if the electronics sector is supported
The joint report calls for collaboration with multinationals, SMEs, entrepreneurs, academia, trade unions, civil society and associations to create a circular economy for electronics where waste is designed out, the environmental impact is reduced and decent work is created for millions.
The new report supports the work of the E-waste Coalition, which includes:
- International Labour Organization (ILO);
- International Telecommunication Union (ITU);
- United Nations Environment Programme (UN Environment);
- United Nations Industrial Development Organization (UNIDO);
- United Nations Institute for Training and Research (UNITAR);
- United Nations University (UNU), and
- Secretariats of the Basel and Stockholm Conventions (BRS).
The Coalition is supported by the World Business Council for Sustainable Development (WBCSD) and the World Economic Forum and coordinated by the Secretariat of the Environment Management Group (EMG).
Considerable work is being done on the ground. For example, in order to grasp the opportunity of the circular economy, today the Nigerian Government, the Global Environment Facility (GEF) and UN Environment announce a 2 million dollar investment to kick off the formal e-waste recycling industry in Nigeria. The new investment will leverage over 13 million dollars in additional financing from the private sector.
According to the International Labour Organization, in Nigeria up 100,000 people work in the informal e-waste sector. This investment will help to create a system which formalizes these workers, giving them safe and decent employment while capturing the latent value in Nigeria’s 500,000 tonnes of e-waste.
UNIDO collaborates with a large number of organizations on e-waste projects, including UNU, ILO, ITU, and WHO, as well as various other partners, such as Dell and the International Solid Waste Association (ISWA). In the Latin American and Caribbean region, a UNIDO e-waste project, co-funded by GEF, seeks to support sustainable economic and social growth in 13 countries. From upgrading e-waste recycling
Another Platform for Accelerating the Circular Economy (PACE) report launched today by the World Economic Forum, with support from Accenture Strategy, outlines a future in which Fourth Industrial Revolution technologies provide a tool to achieve a circular economy efficiently and effectively, and where all physical materials are accompanied by a digital dataset (like a passport or fingerprint for materials), creating an ‘internet of materials.’ PACE is a collaboration mechanism and project accelerator hosted by the World Economic Forum which brings together 50 leaders from business, government and international organizations to collaborate in moving towards the circular economy.
Matrics must prepare for AI
By Vian Chinner, CEO and founder of Xineoh.
Many in the matric class of 2018 are currently weighing up their options for the future. With the country’s high unemployment rate casting a shadow on their opportunities, these future jobseekers have been encouraged to look into which skills are required by the market, tailoring their occupational training to align with demand and thereby improving their chances of finding a job, writes Vian Chinner – a South African innovator, data scientist and CEO of the machine learning company specialising in consumer behaviour prediction, Xineoh.
With rapid innovation and development in the field of artificial intelligence (AI), all careers – including high-demand professions like engineers, teachers and electricians – will look significantly different in the years to come.
Notably, the third wave of internet connectivity, whereby our physical world begins to merge with that of the internet, is upon us. This is evident in how widespread AI is being implemented across industries as well as in our homes with the use of automation solutions and bots like Siri, Google Assistant, Alexa and Microsoft’s Cortana. So much data is collected from the physical world every day and AI makes sense of it all.
Not only do new industries related to technology like AI open new career paths, such as those specialising in data science, but it will also modify those which already exist.
So, what should matriculants be considering when deciding what route to take?
For highly academic individuals, who are exceptionally strong in mathematics, data science is definitely the way to go. There is, and will continue to be, massive demand internationally as well as locally, with Element-AI noting that there are only between 0 and 100 data scientists in South Africa, with the true number being closer to 0.
In terms of getting a foot in the door to become a successful data scientist, practical experience, working with an AI-focused business, is essential. Students should consider getting an internship while they are studying or going straight into an internship, learning on the job and taking specialist online courses from institutions like Stanford University and MIT as they go.
This career path is, however, limited to the highly academic and mathematically gifted, but the technology is inevitably going to overlap with all other professions and so, those who are looking to begin their careers should take note of which skills will be in demand in future, versus which will be made redundant by AI.
In the next few years, technicians who are able to install and maintain new technology will be highly sought after. On the other hand, many entry level jobs will likely be taken care of by AI – from the slicing and dicing currently done by assistant chefs, to the laying of bricks by labourers in the building sector.
As a rule, students should be looking at the skills required for the job one step up from an entry level position and working towards developing these. Those training to be journalists, for instance, should work towards the skill level of an editor and a bookkeeping trainee, the role of financial consultant.
This also means that new workforce entrants should be prepared to walk into a more demanding role, with more responsibility, than perhaps previously anticipated and that the country’s education and training system should adapt to the shift in required skills.
The matric classes of 2018 have completed their schooling in the information age and we should be equipping them, and future generations, for the future market – AI is central to this.