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On Monday, National Instruments announced one such platform. It's called LabView Robotics. In addition to LabView, the popular data-acquisition application, the package includes a bunch of tools specific to robotics. It can import codes in various formats (C, C++, Matlab, VHDL), offers a library of drivers for a wide variety of sensors and actuators, and has modules for implementation of real-time and embedded hardware. NI says engineers could use the package to both design and run their robotic systems. 

Multisim 11 is the latest version of its circuit simulation software, with specialized editions for both hands-on learning and professional circuit design. The easy-to-use Multisim software delivers a graphical approach that abstracts the complexities of traditional circuit simulation, helping educators, students and engineers employ advanced circuit analysis technology. The academic edition of Multisim 11 incorporates specialized teaching features and is complemented by circuits textbooks and courseware. This integrated system helps educators engage students and reinforce circuit theory with an interactive, hands-on approach to investigating circuit behavior. Multisim 11 Professional helps engineers optimize circuit designs, minimize errors and reduce prototype iterations. When combined with the new NI Ultiboard 11 layout and routing software, Multisim provides engineers a cost-effective, end-to-end prototyping platform. Its integration with NI LabVIEW measurement software also helps engineers define custom analyses to improve design validation…

National Instruments has released a vision module for the PXI platform that provides a high-performance parallel processing architecture for hardware-defined timing, control and image pre-processing. The NI 1483 Camera Link adapter module, in combination with an NI FlexRIO field-programmable gate array (FPGA) board, offers a solution for embedding vision and control algorithms directly on FPGAs which are used to process and analyse an image in real time with little to no CPU intervention. The FPGAs can be used to perform operations by pixel, line and region of interest. They can implement many image processing algorithms that are inherently parallel, including fast Fourier transforms (FFTs), thresholding and filtering.

Robots mean many things to many people, and National Instruments offers intuitive and productive design tools for everything from designing autonomous vehicles to teaching robotics design principals. The NI LabVIEW graphical programming language makes it easy to program complex robotics applications by providing a high level of abstraction for sensor communication, obstacle avoidance, path planning, kinematics, steering, and more.

While the new multicore system on chip (SoC) signal-processing architecture announced by Texas Instruments this week at Mobile World Congress hits all the right notes with respect to what's needed in next-generation basestation designs, it rings a bit hollow given how sketchy the architectural details remain when contrasted with more 'real' announcements from the likes of Freescale. For sure, the requirements of next-generation basestations will push all architectures to their limits and beyond. Balancing lower power and lower cost with increasingly parallel, math-intensive processing to meet multiuser demands for high-data-rate data in 3GPP Long Term Evolution (LTE) Release 8 all-IP networks is not going to be easy, especially with the introduction of MIMO, beam forming, OFDMA and many other enhancements engineered to maximize spectral efficiency.

Predicting trends is difficult even by the most connected industry experts, but one trend that's easy to spot is the widespread acceptance of multicore SoC. This is happening for a number of reasons. First, it's been years since the workstation first adopted the multicore processor architecture to solve such issues as increasing performance and power concerns. While the adoption rate in workstations is now saturated and is fully supported by General Purpose OSs (GPOS), the embedded world is just now looking at ways to adopt multicore architecture. Second, several SoC vendors have been providing multicore solutions including Cavium, Freescale, MIPS, and ARM; but up until now, these solutions have been limited to networking and used for performance enhancements rather than for low power. The rest of the embedded industry has had limited hardware options available as low-power design is a driving factor. While the ARM 11 MPCore was ahead of its time, the Cortex-A9 MPCore design is ready for primetime and is gaining acceptance in the embedded marketplace. As a result, SoC vendors have adopted the Cortex-A9 MPCore hardware as a basis for their next generation designs. Over a year ago, Texas Instruments pre-announced their next-generation OMAP designs in the OMAP 4 with a dual-core Cortex-A9 MPCore, scheduled for production in the second-half of 2010. ST Microsystems has pre-announced their next generation consumer devices which will be based on the Cortex A9 MPCore.

Avnet Electronics Marketing and Xilinx Inc. said they have concluded their five-month, 37-city global X-fest technical seminar series. According to the companies, the free one-day training sessions offered practical, how-to system level design instruction featuring the Spartan-6 and Virtex-6 FPGA families from Xilinx, as well as key enabling technologies from suppliers including Cypress Semiconductor, Intel, Maxim Integrated Products, National Semiconductor, NXP, Texas Instruments and Tyco Electronics. Replays of the events are available online.