With machine learning, algorithms are automatically generated from large datasets, speeding the development and reducing the difficulty of creating complex systems, including robotics systems. While data at scale is what makes accurate machine learning ‘go’, the data used to train ML models must also be very accurate and of high quality.
Autonomous mobile robots (AMRs) have proven to increase the productivity and reduce the cost of warehouse automation operations. While the costs of AMRs continue to drop, even as their capabilities increase, there are often hidden, and sizable, costs associated with their deployment. Here’s what to look for, and how to mitigate their impact.
Robots and industrial automation enable disproportionate GDP gains, but are they resilient to disruptions and changing demands?
Increased automation—with its ability to significantly boost societal productivity—is needed to help modern nations address seemingly intractable challenges such as sluggish wage growth, aging populations, rising health care costs, environmental restorations, global competitiveness, and often-worrisome levels of public sector debt.
The emergence and rapid proliferation of collaborative robots have resulted in the proliferation of a new class of ‘lean’ integrators specially adapted to the needs of SMEs who wish to leverage automation. The lean integrator has evolved precisely to deliver robot installations that yield higher productivity at a lower price point, and that can be installed in a fraction of the time of a traditional robot work cell.
New research by MIT economist Daron Acemoglu shows that since 1987, automation has taken away jobs from lower-skill workers without being replaced by an equivalent number of labor-market opportunities.
Cloud computing represents the most important horizontal innovation for the robotics industry to date, with the market for robot-related services powered by cloud computing reaching US$157.8 billion in annual revenue by 2030.
Both China and the US are incorporating AI into their industrial manufacturing operations… China from the top down and the US from the bottom up.
Recent advances in machine and deep learning have improved SLAM techniques, leading to an increased richness in maps, with semantic scene understanding improving localization, mapping quality and robustness.
For robotics systems, “supervised autonomy”, readily available for implementation today, can be used as a bridging solution between teleoperation and full autonomy.
Qualcomm Robotics’ RB5 platform offers high end compute, edge AI, 5G and more for robotics developers.
Labor shortages and high levels of workplace injury and illness have always challenged the food manufacturing sector, especially meat producers. The Covid-19 pandemic has exacerbated the situation. Robotics automation provides a solution.
Designers and engineers require prototypes to verify product design and manufacturability and engineering, before moving on to full production. But how can start-ups and smaller companies, who lack the high level of resources and expertise of larger firms, rapidly develop their prototypes? Outsourcing provides one solution.
Robotics solutions can be used automate difficult and dangerous tasks in the utilities sector.
Contract manufacturer GMI Solutions evaluated mobile robotics implementation solutions using a formal 8-step process only to determine that their best option was to develop their own affordable, practical system, and launch a new company to commercialize it.
While mobile robots for use in ecommerce and fulfillment centers have received most of the attention in recent times due to their sudden uptake, robotic fork trucks (forklifts) have been quietly and steadily growing in numbers, and represent one of the largest opportunities for suppliers of Automated Guide Vehicles (AGVs) and Autonomous Mobile Robots…
Market momentum stalled for the retail sector’s “Next Big Thing”, but ongoing investment and innovation, along with critical business drivers, ensures incremental progress continues.
The US Department of Transportation and State of California provide Nuro AI with exemptions to operate self-driving cars on US roads without a human drivers present.
Universal Robots takes a page from traditional industrial robotics suppliers, providing an opportunities roadmap for others in the expanding UR+ ecosystem.
How teleoperation is taking tasks based on distance, danger, and scale.
One of the pioneers in socially assistive robots discusses how all parts of a robot are important for human interaction.
Working at the intersection of art, robotics, and social media, Dr. Ken Goldberg shares his thoughts on making robots less clumsy when grabbing objects.
A proven entrepreneur and innovative robot designer, Aaron Edsinger shares the journey of working in the human-collaborative robots field.
Rescue robots can help save lives in the aftermath of disaster, but agencies should know more about their costs and capabilities, says Robin Murphy, founder of Roboticists Without Borders.
Robotics startups can become successful without losing sight of social value, says Vecna Robotics’ Daniel Theobald. He describes his experiences and outlook.