DeepMap, Metropolis, and ReOpt improve performance for fleets of autonomous mobile robots amid expectations for nearly 6x increase in robot sites by 2025.
Any policy that slows down the use of automation will cause operational inefficiencies. This is the last thing we need considering the global supply chain crisis.
The demand for AI-driven robotics is increasing in operations like those in manufacturing and warehouse settings to help organizations with data and analytics that identify problems in real time, improve decision making, and perform tasks more efficiently.
Like transformative technologies that came before, the ethics of AI is coming under increased scrutiny, giving birth to regulations and policies constraining the scope of its application.
While most manufacturing companies have begun to explore the next step in automation technology -- artificial intelligence (AI) and machine learning (ML) -- a large gap exists between where they want their organizations to be with AI technology and where they are.
IoT and mobile app development are two such prospects that industry analysts believe can reshape our lives in significant ways. Collectively, these technologies are expected to dominate the future and bring a never-seen change in enterprises across the niches.
The smart robot market is growing and industries including aerospace, defense, medical, manufacturing, freight and others are all looking at ways to leverage robots to improve their services and products. However, Artificial Intelligence impacts everything on a macro level.
In a survey, some 80% of telecommunications executives stated they believe their organization cannot respond appropriately to cyberattacks without AI. What's more, 69% of all senior executives agree they would not be able to respond without AI on their side.
AI brings efficiency through big data analytics and performance insights on an unprecedented scale. With this power, AI is advancing supply chains for a cleaner, more cost-effective future. Preparing for this future starts with understanding AI implementation in the present.
With AI-powered SORT systems, robots do the mundane, repetitive tasks, successfully piece-picking customer orders into completion. Thus, our customers can redeploy employees in more suitable roles throughout the supply chain.
A simple request, a short sentence, for the human brain to interpret what is meant, make the connection and initiate an appropriate reaction is easy. For a machine this is much more complicated. To control technical devices with speech requires many individual steps.
"As an increasing number of customers request AI-integrated robots, an AI-based analysis platform for robot functions is an indispensable necessity. We plan to expand our userbase with robots that can autonomously predict failures and perform quality management."
As barriers between human activities and robotic capabilities diminish - moving beyond the fenced activities of last-generation industrial robots - new collaboration and workflow models are bringing humans and robots together in industry.
The Innovation Hub at Les Roches Crans-Montana welcomes its first incubation projects and embraces the cutting-edge digital expertise of six world-class tech companies.
Toyota Research Institute Showcases Latest Robotics Research Aimed at Amplifying Human Ability in the Home
TRI's robotics research is guided by the Japanese notion of Ikigai, a powerful idea that every person's life should have meaning and purpose. TRI's human centered approach turns typical AI philosophy on its head.
Records 1 to 15 of 80
ELITE ROBOT lightweight 6-axis collaborative robots have payloads of (3kg, 6kg, and 12kg cobots). Elite cobots have gained a positive reputation among users in the Automotive, Electronics, Packaging Logistics, Metal Processing, Rubber & Plastics, chemicals, and other industries. The EC series robots start at $14,000 USD making it one of the fastest ROI in the industry. The EC robots come complete with 6 DOF arm, control box, teach pendant and software.