FRANKA RESEARCH 3

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Product Description

As a benchmark product in the field of embodied intelligence, Franka robots provide important references for current and future research. They are not only a research platform but also a driving force behind technological innovation in robotics. With their high-precision force control capabilities, modular design and open interfaces, Franka robots offer researchers a flexible and efficient experimental platform. Franka robots were originally designed to provide an open and flexible platform for robotic research and education. They are equipped with high-precision joint torque control and real-time interfaces that support 1 kHz real-time control and status feedback. This high-precision force control capability enables Franka robots to perform precise operations in complex tasks, such as accurately controlling surgical instruments in robot-assisted surgery and carrying out delicate assembly tasks in industrial manufacturing. Furthermore, the modular design of Franka robots reduces manufacturing and maintenance costs, allowing them to be brought to market at a lower price. Consequently, they have been adopted by an increasing number of research and educational institutions.

Product Specifications

1. Basic Parameters Degrees of Freedom (DOF): 7 joint axes. Load Capacity: 3 kg. Operating Radius: 855 mm. Weight: 18 kg. Control System: x86-based PC controller. 2. Sensors and Safety Systems Force Sensors: Each joint is equipped with force sensors capable of detecting applied forces in real time, ensuring safe interaction with humans. Collision Detection: A built-in collision detection mechanism that halts movement immediately upon detecting an abnormal force. Position Sensors: High-precision encoders provide accurate position feedback. 3. Programming and Control Programming Languages: Supports multiple programming environments such as Python, C++, ROS (Robot Operating System) and MATLAB Simulink. User Interface: An intuitive user interface with drag-and-drop programming, designed for ease of use by users without programming experience. Network Connection: Remote monitoring and control via Wi-Fi or Ethernet.

Company Profile

Jizhilian Robotics (Suzhou) Co., Ltd.

The PNP Robotics team is one of the earliest start-up teams in China to have commercialised collaborative robotics. The core founding members possess strong academic backgrounds, having graduated from renowned institutions such as the State Key Laboratory of Robotics Technology and Systems at Harbin Institute of Technology and the University of Toronto. They also have extensive industry experience, having previously worked for leading global robotics companies such as Universal Robots and ABB Robotics. The company’s CEO, Bao Wentao, was a founding member of Universal Robots“ China operations, where he was responsible for all aspects of technology R&D, marketing, training, ecosystem partner development and customer support. PNP Robotics is committed to providing cutting-edge embodied intelligence solutions. We have developed a complete suite of embodied intelligence products based on FRANKA robots, and showcased a teleoperated master hand at the exhibition stand that utilises both force-controlled and position-controlled modes. Our aim is to build a ”one-stop embodied intelligence research platform“, helping clients avoid the hassle of setting up the infrastructure and allowing them to focus their efforts directly on in-depth research into embodied intelligence algorithms, models and applications. PNP Robotics is a state-level high-tech enterprise. Since its establishment, the company has been awarded numerous talent titles, including ”Jiangsu Province Mass Entrepreneurship and Innovation Talent“, ”Suzhou Gusu Leading Talent“, ”Wujiang Leading Talent“ and ”Chongben Leading Talent“, and has received honours such as ”Science and Technology-based SME“ and ”Innovative SME’. Headquartered in Suzhou, the company occupies premises of 1,000 square metres and houses departments dedicated to research and development, system integration and debugging.
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