The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Filter
Locations
Result types
Type of company
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Lock keywords
Exclude keywords
Optional keywords
Tel Aviv-Yafo, Israel
11-50 Employees
2017
Support: +1 (316) 368-1307 | US Office (Ashley). Thanks for contacting us! We will get back to you ASAP.
+
Featured
About | Autonomous Pivot
... Autonomous Pivot transforms center-pivot irrigation systems into an intelligent, AI-driven robotic platform that can improve farming returns. ...
London, United Kingdom
11-50 Employees
And learn more about the nuts, bolts, roots and shoots of Antobot.
+
Featured
Agricultural Robotics | Antobot
... Antobot is an award-winning agri-tech start-up developing AI-driven autonomous robotics at an affordable price for sustainable ...
San Francisco, United States
51-100 Employees
2014
Founded in 2014, Kindred is a robotics and artificial intelligence (AI) company that develops robots to solve real-world problems. Its mission is to enhance the lives of human workers with the power of AI robotics. Kindred’s cutting-edge technology is the foundation of a number of proprietary platforms, including CORE with AutoGrasp™, developed to operate robots autonomously in dynamic environments. Our team of scientists, engineers and business operators have set a new standard for reinforcement learning for robots. We are co-located in San Francisco and Toronto and are part of the UK-based Ocado Group.
+
Featured
Kindred INDUCT: ultra high-speed, AI-driven robotic pick & place solution — Kindred
... Kindred INDUCT is an ultra high-speed, AI-driven robotic pick & place solution for a wide range of e-commerce and parcel items. INDUCT’s multi-arm configuration utilizes Kindred CORE/AutoGrasp™, a robotics artificial intelligence platform that identifies items to pick and place into unit ...
+
Featured
aiSon Technologies
... Our solutions range from an adaptive pad that improves probe-to-skin coupling to AI-driven robotic ultrasound scanning. Find out more here! ...
London, United Kingdom
11-50 Employees
2019
Cutting-edge Recycleye technology and unique research in WasteNet helps modernise and optimise your MRF operations. That changes today, thanks to innovative, data-driven technology up to the task of sorting waste streams – faster, smarter and more reliably. Deliver more profitable materials recovery through robust, reliable and effective sorting technology, making us the trusted partner for the waste and materials management sectors. Combined with ongoing end-to-end support, trusted ideas and expertise at every step, we’ll help you benefit from the right solutions for your MRF’s needs. Sort strays from your 2D streams to deliver greater purity.
+
Featured
Solutions - Recycleye
... Learn more about our AI-driven robotic sorting solutions and see how our customers are ...
Yokohama, Japan
1-10 Employees
2013
We are a privately held company with headquarters are located in Yokohama, Japan, and have representatives worldwide. We are located near the Nihon-ōdōri station on the Minato-Mirai line, just 35 minutes train from the Shibuya station in Tokyo. We are associated with the following public, cultural and government organizations in Yokohama:. We are proud to introduce WeRender — scalable web services for rendering and data processing, where all storage & compute happens on the cloud. We specialize in the creation, investigation, and advancement of cutting-edge software solutions and cloud services that handle large amounts of data. What sets us apart is our expertise in harnessing the power of artificial intelligence and utilizing techniques derived from computer graphics imagery, originally developed for high-end visual effects, and applying them to diverse fields like finance, medicine, data analysis, and robotics. What sets us apart is our expertise in harnessing the power of artificial intelligence (AI) and utilizing techniques derived from computer graphics imagery (CGI, AR, VR), originally developed for high-end visual effects (VFX), and applying them to diverse fields like finance, medicine, data analysis, and robotics. Over the years we have been deploying advanced solutions and services built upon cloud infrastructure, streaming, rendering, 3D computer graphics, computer vision, AI, ML, AR, VR.
+
Featured
J CUBE Inc — Imagination Engine
... Introducing LF | AI, the powerful Linux mini computer for AI-driven avatar-like robotic applications in the Internet of Things. ...
Westlake Village, United States
The accurate and efficient movement of goods within these spaces is the heartbeat of your business and 1-day shipping has dramatically upped the stakes. That’s why we built a flexible, agile approach to organize these many moving parts into perfect harmony. They found they were a natural team, and they were curious and passionate about how they could apply automation to solve existing problems. They took Plato’s wisdom to heart: “necessity is the mother of invention.”. The team was driven by a mission to automate repetitive tasks so people could get that time back and use it in more fulfilling ways. Lior has more than 20 years of experience as an executive in internet networking, robotics, software development and enterprise architecture businesses. Dan is a robotics expert with 17 years of experience in the field. Did you know that you can boost your productivity 2-3x with inVia Logic's AI automation solution and 5x when you add inVia Picker autonomous mobile robots?
+
Featured
Technology | AI Warehouse Automation | inVia Robotics
... Optimize your warehouse with inVia Robotics: AI-driven technology for peak efficiency and seamless order fulfillment. ...
Santa Monica, United States
251-500 Employees
2009
We get a buzz out of unlocking the power of emerging tech for both big-name enterprises and ambitious startups. Retail & Ecommerce Healthcare & BiotechEdTech & eLearningLogistics & Transportation. Tell us about your challenges, and we’ll come up with a viable solution!
+
Featured
AI Solutions for Retail and Ecommerce — ITRex
... Leverage the power of customer segmentation with ML, AI-driven robotic process automation, AI and deep learning fraud detection software for retail, and other AI capabilities. ...
Sunnyvale, United States
11-50 Employees
2016
For more information and company history, visit our Japanese corporate page using translation software at https://zweispace.co.jp/company/.
+
Featured
Zweispace Japan
... Leading real estate industry with cutting-edge robotics, AI driven technology. ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for AI-Driven Robotics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 8 |
| Amount of suitable service providers | 7 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2009 |
| Youngest suiting company | 2020 |
20%
40%
60%
80%
AI-driven robotics refers to the integration of artificial intelligence (AI) technologies into robotic systems, enabling these machines to perform tasks autonomously or semi-autonomously with minimal human intervention. Unlike traditional robots that operate based on pre-programmed instructions, AI-driven robots are equipped with machine learning algorithms and sensory systems that allow them to analyze their environment, learn from their experiences, and make decisions in real-time. This advanced capability enables AI-driven robots to adapt to new and changing situations, enhancing their efficiency and effectiveness in various applications. The impact of AI-driven robotics is profound across multiple sectors, including manufacturing, healthcare, logistics, and service industries. In manufacturing, these robots can optimize production lines and perform complex assembly tasks with precision. In healthcare, they assist in surgeries and patient care, improving outcomes and efficiency. In logistics and supply chains, AI-driven robots streamline processes, from sorting and packaging to autonomous delivery systems. The adoption of AI-driven robotics not only increases productivity and cost savings for businesses but also has the potential to revolutionize the way we work, live, and interact with technology, pushing the boundaries of what is possible in automation and artificial intelligence.
1. Enhanced Efficiency
AI-driven robots can process and analyze data at a speed that far surpasses human capabilities. This allows for quicker decision-making and problem-solving, significantly reducing the time required for various tasks.
2. Improved Accuracy
Thanks to advanced algorithms and machine learning, AI-driven robotics exhibit a high level of precision in their operations. This accuracy minimizes errors in tasks ranging from manufacturing to surgery, ensuring high-quality outcomes.
3. Adaptability
AI robots can learn from their experiences and adapt to new, unforeseen situations without human intervention. This flexibility makes them suitable for a wide range of applications, from complex industrial processes to dynamic service environments.
4. Cost Savings
Over time, the deployment of AI-driven robotics leads to significant cost savings. By automating tasks, companies can reduce labor costs and minimize human error, which often leads to expensive corrections and downtime.
5. Continuous Operation
Unlike humans, AI-driven robots can work continuously without breaks, fatigue, or a decrease in performance. This capability ensures that operations can run 24/7, greatly enhancing productivity and operational efficiency.
While evaluating the different suppliers make sure to check the following criteria:
1. Expertise in AI Technologies
Ensure the supplier has a solid foundation in AI and machine learning technologies, which are crucial for the development of advanced robotics.
2. Customization Capabilities
The ability to customize robotics solutions to fit specific operational needs is essential for maximizing efficiency and productivity.
3. Quality Assurance and Testing
Verify the supplier's commitment to quality through rigorous testing protocols and quality assurance practices to ensure reliability and durability of the robotics systems.
4. After-Sales Support
Look for suppliers offering comprehensive after-sales support, including maintenance, repairs, and software updates, to ensure long-term operational efficiency.
5. Scalability Potential
Consider the supplier's ability to scale solutions to meet growing demands, which is crucial for future expansion and integration of AI-driven robotics into different facets of operations.
6. Reputation and Previous Projects
Research the supplier's reputation within the industry and review case studies or previous projects to gauge their experience and success in delivering effective AI-driven robotics solutions.
AI-driven robotics are revolutionizing the manufacturing industry by automating complex assembly processes. These intelligent robots can adapt to different tasks without human intervention, significantly reducing production times and increasing efficiency. Their ability to learn and improve over time ensures consistent quality and innovation in manufacturing techniques. In the realm of healthcare, AI-driven robots are enhancing patient care through precision surgery and personalized treatment plans. These robots can analyze vast amounts of medical data to assist in diagnosis and treatment, leading to improved patient outcomes. Their precision and reliability make them invaluable assets in operating rooms and clinics alike. The logistics and supply chain sector benefits from AI-driven robotics through improved warehouse management and delivery systems. Robots equipped with AI can sort, package, and track inventory with high accuracy, optimizing the supply chain process. This automation reduces human error and increases the speed of distribution, meeting the growing demand for fast and reliable delivery services. Agriculture is witnessing a transformation with AI-driven robotics optimizing farming practices. These robots can perform tasks such as planting, weeding, and harvesting more efficiently than human labor. Their advanced sensors enable them to monitor crop health and soil conditions, leading to higher yields and more sustainable farming methods.
AI-driven robotics has made significant strides and currently sits at various stages within the Technology Readiness Level (TRL) spectrum, primarily ranging from TRL 4 to TRL 7. This range indicates that AI-driven robotics technologies have been validated in lab environments (TRL 4) and increasingly in relevant and operational environments (TRLs 5-7). The reason for this spread across the TRL spectrum is largely due to the complexity and diversity of applications for AI in robotics. Technical advancements in machine learning algorithms and sensor technologies have propelled these systems to TRL 4, allowing for successful lab-based demonstrations where controlled environments can simulate potential operational scenarios. Progressing to TRL 5 and beyond, where technologies are tested in relevant environments, signifies the transition of AI-driven robotics from theoretical and controlled applications to more practical, real-world situations. This advancement is largely enabled by improvements in computational power, data processing capabilities, and the integration of more sophisticated sensors, allowing robots to better understand and interact with their surroundings. However, achieving higher TRLs, closer to full-scale commercialization (TRL 9), is hindered by challenges such as ensuring reliable autonomy in unpredictable environments and addressing ethical and safety concerns associated with AI decision-making, illustrating why AI-driven robotics occupies its current TRL range.
In the short-term, AI-driven robotics is set to experience significant advancements in sensory technologies and machine learning algorithms. This will enable robots to better understand and interact with their environment, making them more adaptable to complex tasks. The integration of advanced vision systems and tactile sensors will allow robots to perform delicate operations, from precision manufacturing to nuanced agricultural tasks, with greater efficiency and less human intervention. The mid-term outlook for AI-driven robotics points towards the enhancement of autonomous decision-making capabilities. As AI systems become more sophisticated, robots will not only execute predefined tasks but also make informed decisions based on real-time data analysis. This leap in cognitive abilities will be pivotal in deploying robots for emergency response, healthcare, and in environments that are hazardous to humans. The focus will be on creating systems that can learn and evolve from their experiences, paving the way for more versatile and independent robots. Looking at the long-term, the fusion of AI with quantum computing is anticipated to revolutionize AI-driven robotics. This combination will exponentially increase processing power and efficiency, enabling robots to analyze vast datasets instantaneously and make decisions with unprecedented speed and accuracy. Such advancements will facilitate the development of fully autonomous systems capable of complex problem-solving and innovation, mirroring human-like intelligence. This era will usher in robots that can contribute to scientific research, space exploration, and perform tasks that are currently unimaginable, significantly expanding the boundaries of AI-driven robotics.
Some interesting questions that has been asked about the results you have just received for AI-Driven Robotics
What are related technologies to AI-Driven Robotics?
Based on our calculations related technologies to AI-Driven Robotics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of AI-Driven Robotics?
Start-Ups who are working in AI-Driven Robotics are Aigen
Which industries are mostly working on AI-Driven Robotics?
The most represented industries which are working in AI-Driven Robotics are Science and Engineering, Software, Artificial Intelligence, Hardware, Information Technology
How does ensun find these AI-Driven Robotics Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
