FedEx’s Aaron Prather discusses the four critical steps robotics start-ups must take to in order to have their solutions reviewed, acquired and successfully deployed by Global 2000 businesses.
Walmart’s decision to end its five year experiment with Bossa Nova Robotics and their in-store robot program was unexpected, but upon further analysis not without merit, at least in the short term. Other robotics companies servicing the retail sector are progressing, but they must continue to innovate to be successful.
Dan Kara, VP, Robotics at WTWH Media interviews John McEleney, Corporate Vice President of Strategy at PTC to discuss how enhancing and improving engineering workflow provides strategic business value.
Large companies are not immune to the negative effects of ‘Pilot Purgatory’ on their digital and manufacturing transformation initiatives, including their merger, acquisition, and divestiture efforts. Strategic, transparent, and cross-functional execution are key to avoiding stagnation.
RBR’s provides hot takes on Tesla’s limited beta program for “Feature Complete Full Self-Driving” and the ARM Institute’s emphasis on robotic sewing, textile handling and apparel manufacturing.
Greater sensing, data collection and deep learning that exploit farmers’ collective wisdom can enable closed-loop control systems that deliver on the promise of true autonomy on the farm. Such autonomy, including autonomous plowing, would free up precious time for the farmer, and deliver greater agricultural yield and consistency of outcome.
Before deploying autonomous driving systems (ADS), we must know how, when, and whether they will work. There is no excuse for allowing the attention of drivers to stray during automated operation – if a system is really semi- and not fully autonomous.
For small-to-medium manufacturers (SMMs), especially those with high-mix, low-volume production loads, collaborative robots provide many benefits over traditional industrial robots for certain tasks. But deploying cobots can be challenging. Thankfully, the US’s National Institute of Standards and Technology (NIST) Manufacturing Extension Partnership (MEP) can help.
Pilot purgatory and industrial tourism has hindered the adoption of Fourth Industrial Revolution (4IR) technologies in the manufacturing sector, and can be especially damaging to solution provider start-ups. Early diagnosis of the threat is key.
The FAA’s approval for Prime Air drone delivery is a promising step forward, but the FAA needs to streamline the process and update its rules to better reflect current technology.
China has witnessed significant robotics sales and investment in 2020, a continuation of an earlier pattern. Still, young Chinese robotics companies face many challenges including a price sensitive domestic market, relatively low labor wages, trade conflicts and geopolitical tensions.
For many applications, traditional cellular communications, including 5G, are suboptimal for data-intense autonomous vehicles, UAVs, and robotics systems. What is required is new cellular communications solutions that provide seamless connectivity and unlimited range for vehicles, and ensure all data is transmitted and received to and from related parties from any location.
Farming is a major emitter of greenhouse emissions. But a whole host of companies are working on methods of reducing the environmental impact of farming by altering farming methods, and employing new technologies, including robotics systems.
The jobs robots create demand a high skill level, so to build a sustainable workforce companies must develop a strategy for upskilling their current workers, and also have plans in place for training future employees.
To bring Embodied’s Moxie social companion robot to as many families as possible, the company knew the price point needed to be much more affordable than robots of the past AND present. Here’s how they did it.
As retailers continue to adopt and roll out omni-channel distribution models, new logistical challenges arise, along with industrial automation technologies and techniques, including autonomous mobile robots, that can overcome them.
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.