Synapticon‘s approach is to lower the cost of mechanical hardware by controlling quality-influencing physical factors in software. The basic principle of this is to combine the computation of models of the physics of a drive, such as the phase characteristics of the motor and the backlash of the reducer, with high-resolution and high-speed sensing of corresponding physical metrics. This way, Synapticon‘s drive control technology is able to substantially improve the performance and quality, from eliminating unwanted disturbing torque effects of low-cost motors to virtually adjusting the backlash of imprecise gearboxes.
Synapticon SOMANET SoCs are based on xCore and ARM processor architectures and offer 8 to 32 programmable 32bit RISC cores per chip. This highly parallel, hard real-time technology, combined with a broad range of SOMANET Soft IP Blocks, enables to integrate dedicated industrial communication, sensor data acquisition and motor control in a single device. Using SOMANET SoCs, a board design can be easily scaled by adding more instances of an application to a System-on-Chip, for example multiple motor controllers. If more resources are required than a single device can offer, multiple devices can be connected through xConnect interface technology. Learn more about the xCore architecture from our technology partner XMOS.
Rapidly start building your prototype with ACTILINK Motion Nodes, quickly configure custom control systems with SOMANET Modules and realize your series design using SOMANET SoCs. With Synapticon’s Embedded Robotics Platform, the formerly long, multi-phase process from early conceptual R&D until mass production becomes a seamless flow.
Synapticon is a born ROS community member and early supporter of ROS Industrial, ROS for Products and, as a result, ROS 2 efforts. We consider ROS the lubricant for most robotic innovations since 2010 and the glueware for a continously growing number of robotic end-products. Synapticon SOMANET and LINK motion control and drive products are ROS compatible.
Traditional Robot Arms
Collaborative Robot Arms