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The transformation of industrial robots from active to intelligent has once become a widespread co-fish within the industry. Incomplete statistics of high-tech robots, more than 20 industrial robot companies have entered the “intelligent robots” into the operation scope and have invested heavily in the intelligent and embodied intelligent range of robots.
In the industry scenario, traditional industrial robots lack intelligence levels, and there are still a large number of industrial and technical personnel and positions rely on high-strength manpower operations, especially small batches and multiple types of mixed positions, which demands “intelligent robots who understand technology”.
Although the demand for intelligent robots by the end customers is constantly improving, the trend of artificial intelligence skills is still in the virtual digital world. In the future, the integration of the embodied intelligent model and robots still stays in the “20-year-old brain and 3-year-old JM Escorts‘s body” stage, and it is difficult to land in the scene of giving birth to a child in the industry.
In order to enable AIJamaica Sugar Daddy skills to exert strong efficacy in the physical world, allowing robots to further reduce human dualityFrom “mechanical fulfillment” to intelligent perception, self-decision planning, and efficient implementation of repetition of disorderly affairs, accelerate the integration of IT (information skills) and OT (operation skills), buy AI model skills and robot manipulation walls, and change of robot man control system is necessary.
As a forward-looking enterprise that has been deeply rooted in the control of robots and activities for nearly 20 years, Tosda has delivered an “answer” to promote the implementation of embodied intelligence in the industry in the process of exploring the integration of artificial intelligence and robots. Recently, Tosdale’s new generation of intelligent robots controlled the platform and participated in the performance of the huawJamaica Sugarei China and its partners were jointly with their partners. The platform was built on the hypnox + openEuler skill base, from hardware to operating system, and then to software to complete the entire chain domesticization.
High-tech robots know that the new generation of intelligent robots control platform is based on the cloud-side-end coordination architecture and build an open intelligent control ecological system. The platform uses more than 400 scaled API interfaces to fully support mainstream speaking ecologies such as Python, C++, C# and other mainstream, and to This time analyzes the linguistic instructions of multi-modal models such as LLM (speaking model), VLM (speaking model), VLA (speaking model), etc., so that the model can “understand” and “know” and completes the end-to-end conversion of natural speech instructions to robotic manipulation.
The new generation of intelligent robots will take the platform as the focus of the implementation of the financialization of artificial intelligence skills, accelerating the program that will enable artificial intelligence to move towards the real physical world.
As one of the first international industrial machinery companies to cooperate with major mold companies, Tosda has been deeply engaged in embodied intelligence for 4 years. Now, with the profound cooperation with more AI model manufacturers and the establishment of a related subsidiary of embodied intelligence, Tosda is accelerating the era of embodied intelligence.
Bridge beam for IT and OT integration
Time has been turned to 2021. In order to develop a new generation of control systems, a project with the agency “X” was established outside Tosda.
Dr. Zhang Xiaohua, Chief Engineer of Tosda, introduced that the persistent IT and OT system divergence of industry-driven development has always been an important obstacle to the intelligentization process of robots. “X” project focusIt is to explore how to buy walls between IT and OT, and apply novel IT skills to the robots and the physical world.
Following the birth of natural models such as ChatGPT, he and the R&D team have discovered that natural AI skills can speed up the process of robots in some arts, and if mature AI skills want to be very skilled in the physical world, they need a load that can or may be linked to the physical world and the digital virtual world.
As Yingwei founder and CEO Huang Renyu said, “The next wave of artificial intelligence will be embodied intelligence.” The robot is just as good as the carrier.
The new generation of platform developed by Tosda AG is in unison with the tide of the times. In 2021, Tosda and the National Creative Software jointly issued a new generation of X5 robot activity control platform based on the Ola operating system (openEuler), bringing a prosperous IT speaking interface to the robot control system, and supporting the use of natural control instructions through process AI models. As expected, the X5 robot activity developed by Tosda has turned the platform into a bridge connecting AI brain and robotics, and has inherited the key to “brain and spine”. Tosda has also become one of the earliest enterprises in the industrial robotics industry to open up the layout of embodied intelligence.
After nearly a few years of skill iterations, Tosda believes that its robot control system is slowly using IT and OT skills to integrate the key effects of the “central component”.
Dr. Zhang Xiaohua believes that AI will build a scaled ecosystem, allowing more popular people to manipulate robots. He guessed that in the future AI changes, the utilization of robots will increase to the next 10-20 times.
In this overturning change, in order to allow more people to easily transfer and manipulate robots and break the reckless, impotence and non-universality of robots’ speech, it will be particularly important to use the “central component” of the integration of IT and OT skills with their original grand IT capital and talents.
Based on this, Tosda supplies Python Escorton, C++, C# and other types of editorial speaking native API interfaces and offline programming platforms in the control system. It has opened more than 400 performance interfaces and converted them through process containerization and virtualization techniques.-sugar.com/”>Jamaica Sugar is the centerpiece.
Through the process of design, the robot can be arranged to control the robot. “This means that in the future, there will be no robot controller in your phone. “Dr. Zhang Xiaohua explained.
The new generation of intelligent robots in Tosda adopts 18+16 millisecond level coherent control techniques to support multi-machine movements in complex scenes, and can complete the control of 2-4 robots at the same time. Based on this technique, Tosda is slowly optimizing the coherent utilization plan of double-arm robots in different scenes.
The platform adopts an engine’s cloud edge architecture. According to the different computing power needs, the embodied intelligent model plan is divided into three arrangement methods: cloud side, side and end side to complete the href=”https://jamaica-sugar.com/”>JM Escorts‘s smart model uses the precise fit of scenes in a variety of ways to achieve timely reasoning and precise execution of instructions.
At the same time, the R&D team built a data acquisition platform based on the control platform structure, and completed multi-mode data acquisition and AI training shut-off rings with high-precision and low-latency methods, completing high-precision industry data and time synchronization and mold iteration, providing high-quality “fuel” for the continuous optimization of mechanical improvement algorithms.
As may be, “X” controls the hardware load of the system from traditional activities and gradually degenerates into a new generation of intelligent robots that integrates “sensory-computing-control” into a new generation of intelligent robots that control the platform.
First make AI smarter, then gain a variety of capabilities
In the future, the AI industry was in a stage of blooming, but the intelligence level of AI was still far from enough to meet the real request for giving birth to children in the later physical world. On the one hand, the collection of industry data is difficult, “a skillful woman is hard to cook without rice”; on the other hand, the manipulation system of robots has fewer materials, and the editorial level of publ