Quadruped robotics company Deep Robotics (Deep) has launched three new robotic joint modules, all of which reportedly feature some of the highest torques within their category.
With the rise in demand for humanoid robots, especially within manufacturing settings, key components like high-performance joint modules are also seeing an uptick in demand.
The three new joints are named the J80-27P, J100-64P and J100-116P, and feature high-precision control and use a battery-free multi-turn absolute encoder. These features have been added with the intention of offering high precision, reliability, durability and improved control over joint tuning.
Deep employs a high-speed EtherCAT communication protocol for these products, with the company suggesting the addition of these joint modules can help enable control of up to 30 joints on a single robot.
What’s more, the J100-116P reportedly boast a peak torque of 315Nm and has already been used in large humanoid robots.
The smallest in the portfolio has a max torque of 65Nm and is better suited to smaller-legged robots. The third in the trio, made for medium- to larger-sized legged robots, can reportedly provide a rated torque of 65Nm and a peak torque of 180Nm.
Making robots more dynamic, mobile and dexterous are all key motivations behind the development of the new joints.
The torque coefficient of the J100-64P is 5Nm per Arms, compared to 4.4Nm per Arms for J80-27P and 3.9Nm per Arms for J100-116P. This, the company has said, leads to greater torque output, meaning devices can handle higher payloads.
These joints have been introduced into products across the robotics company’s portfolio, with performance having been validated through large-scale applications.
Other key features include tolerance to rain and dust and operation in all-weather outdoor settings.
Both the J100 and J80 joint series are designed with a drive-control separation scheme and are compatible with several mainstream drives, the company added.
Deep Robotics hopes to advance the evolution of legged robotics and embodied intelligence through the launch of these solutions.
