Cogniteam operates within the IoT, robotics and AI industries, delivering platforms to speed up robot management, deployment and control.
Based in Petach Tikva, Israel, with a US office in Boston, Cogniteam's flagship product is the Cogniteam platformis a cloud-based system that allows the event, management and control of robots, IoT devices and fleets.
Cogniteam's platform enables comprehensive distant management with a customizable dashboard that permits users to observe live data in real-time from anywhere on the planet – irrespective of how large and sophisticated their fleet is.
Interview with Sam Jeans from DailyAI Dr. Yehuda Elmaliahthe CEO of Cogniteamto learn more in regards to the company and its cloud platform.
Q: Tell us about Cogniteam and its origins
Dr. Elmalja: “Cogniteam is concentrated on managing IoT devices, particularly for autonomous robots. We are constructing a cloud-based platform that allows our customers, robot OEMs, operators and support teams to administer, deploy and control their robots and fleets.”
“For example, in case you take a robotics company today, the time between raising money and delivering a product may be around five and even six years. This lengthy process and time to market could make it very difficult for them to lift money.”
“We offer an ordinary solution to hurry up this process. Companies simply install our software agent on their robot or edge device. Then they’ll routinely recognize and control their robots/Edge. Using the cloud, they’ll manage, visualize, monitor, provide software updates and manage fleets inside one platform. We call it a unified cloud platform for robotics.”
Sam Jeans: “So you help customers manage and monitor their software, algorithms, sensors, etc. and wirelessly transfer and transmit data to the robots via the Cogniteam platform?”
Dr. Elmalja: “Yes, however the software itself, just like the autonomy, is created by the shopper. We provide a platform that permits you to send updates to the robots and monitor them. It is middleware that connects to the cloud and the client. This shortens the corporate’s time to market.”
Q: How does Cogniteam make it easier to construct and deploy advanced robots?
Dr. Elmalja: “Robotics is all about integration! If the corporate constructing the robot understands that they’ll deploy it quickly.”
“Today’s founders have the advantage of having the ability to use existing technologies and platforms. By using established systems like this Robot Operating System (ROS) For navigation and algorithm integration, in addition to Cogniteam’s platform for management, deployment and control, they’ll concentrate on developing the unique features of their robots.”
“What used to take about six years can now be achieved in only two years.”
We also talked about how the price of robotic equipment, reminiscent of light imaging and ranging (LIDAR) sensors for scene recognition, has decreased through the years.
Combined with robot management platforms like Cogniteam's platform, this lowers the bar for developing robotic systems.
Dr. Elmaliah explained: “Over the years, sensors have turn into much cheaper. If you take a look at a 3D LIDAR from seven years ago, it will have cost about $50,000 to $60,000. Nowadays, depending on the resolution, accuracy and specifications, you may get a superb 3D LIDAR for $2,000. This is a component of the perception equation.”
In addition to sensors, edge devices have also turn into significantly more sophisticated lately. They process data locally as a substitute of sending it to the cloud, allowing robots to perform machine learning tasks on the device level.
Dr. Elmaliah explained: “Part of our job is deciding what to run at the sting or within the cloud. With the more powerful GPUs available today, you may run more machine learning tasks at the sting. And you send computationally intensive tasks to more powerful systems within the cloud.”
Q: Is there a robotics project that your platform has recently supported?
Dr. Elmalja: “Yes, sure. For example, one in all our customers has a robot that’s purported to disinfect hotel rooms with UV light. The robot can recognize rooms and turn on the UV light if mandatory.”
“This highlights how the corporate is using our platform to administer the robot remotely. If there may be an issue with the robot, it could be understood and resolved remotely.”
“In fact, I got an email from the CEO of the corporate telling me, 'Hey, you saved me $2,500 today.' Curious, I asked why. He explained that there was an issue with the robot, and as a substitute of sending a technician on-site, he was capable of remotely log into our system to see the live stream data from the robot's sensors and simply resolve the issue from his laptop to know and resolve.”
Q: How do you’re thinking that generative AI and huge language models (LLMs) will impact the event of AI robotics?
Dr. Elmalja: “In robotics, the most important challenge just isn’t just constructing the robot, but making it autonomous. You wish to have the opportunity to depend on the robot to perform its mission reliably. Generative AI and LLMs will significantly reduce the time it takes to realize this autonomy.”
Dr. Elmaliah also described some initiatives that Cogniteam is involved in, reminiscent of the HRI Consortium (Human-Robot Interaction)The goal is to develop algorithms and behaviors for robots able to advanced social interactions in the actual world.
“Cogniteam is a component of an Israeli consortium called Human Robot Interaction. In this consortium we’re working to enable natural interaction between humans and robots. This includes understanding scenes, interpreting various events and actions, and merging information from various sensors, including image and sound sensors.”
“As a part of this effort, we’re studying large language models (LLMs) and comparing their performance with traditional approaches reminiscent of Prolog for reasoning and fact-based understanding. We were pleasantly surprised that the LLMs performed quite well on this context.”
Q: What do you’re thinking that is the long run of AI robotics and the way does Cogniteam fit into that future?
Dr. Elmaliah and I also discussed the long run of robotics. I identified that generative AI and LLMs may not have been what most individuals were serious about after they imagined AI within the early 2000s.
In the long term, AI was reasonably a synonym for robots – especially humanoid robots.
But how realistic are humanoid robots? And what about their practicality?
Dr. Elmaliah explained: “We see loads of humanoid robots presented at events and exhibitions. However, I don't think these might be used commercially in practical applications within the near future. It will take no less than 15 years before humanoid robots are literally utilized in industry.”
“I see the long run of robotics as one where many recent corporations will enter the sphere and there might be huge demand. The numbers will multiply no less than tenfold in the subsequent decade. However, over the subsequent 15 years, robots will concentrate on performing a single task, reminiscent of cherry picking, forklift lifting, and similar specialized tasks. Later, we’ll see the emergence of multi-purpose robots reminiscent of humanoids and unmanned vehicles on a business scale.”
Dr. Elmaliah and I agreed that the utility of AI robotics lies in certain activities which can be repetitive, dangerous, or physically inconceivable for humans.
With cheaper hardware, open source operating systems, standard algorithms, and progressive management platforms like Cogniteam's platform, robotics isn’t any longer the complex and dear industry it once was.
To learn more about Cogniteam and its services, visit their website Here.
