SENSORS: With versions weighing only 11.5 gm, MicroStrain® Inc.’s 3DM-GX3TM-25 AHRS is the first of the 3DM-GX3 family of miniature inertial systems to be released into the market. It will enable the development of the next generation of wearable tracking devices and smaller, lighter unmanned vehicles and robots. The 3DM-GX3-25 AHRS combines 12 sensors - triaxial accelerometers, gyroscopes and magnetometers with three embedded temperature sensors and an onboard microprocessor running a sophisticated sensor fusion algorithm to provide static and dynamic orientation and inertial measurements. Improved performance under vibration is achieved by over sampling the sensors at 30 KHz, digitally filtering and performing coning and sculling integrals at 1 KHz and outputting deltaAngle and deltaVelocity. Each 3DM-GX3-25 AHRS is individually calibrated to compensate for gyro-G-sensitivity and sensor misalignment. Full temperature compensation for bias and sensitivity of all nine sensors ensures performance over the full operating range of the sensor. A new mounting system provides precision alignment of the sensor. The 3DM-GX3-25 AHRS is supplied with routines that enable the user to carry out hard and soft iron field calibrations, where appropriate. Units are available with USB 2.0, RS232 and TTL serial interfaces.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.