30-07-2025 | Mouser Electronics | Semiconductors
Mouser Electronics, Inc., announced a new eBook in collaboration with Texas Instruments (TI). In this eBook, 13 industry experts explore how AMRs are redefining industries from warehousing to manufacturing and industrial automation.
AMRs have emerged as a critical piece of the automation puzzle as industries face increasing pressure to operate more efficiently, ensure worker safety, and respond to evolving market demands. This new eBook, '13 Experts Discuss Autonomous Mobile Robots', examines the most pressing challenges and how TI helps its customers build next-generation mobile robotics with innovative products.
The LM74680EVM evaluation module enables designers to evaluate the TI LM74680 ideal diode bridge controller in a 12-pin DRR package. The LM74680 bridge controller simplifies power supply design, eliminates the need for heat sinks, and reduces PCB area by allowing lower voltage drop and reduced power dissipation. Applications include IP cameras and power distribution systems.
The TMS320F28P65x real-time MCUs belong to the C2000 real-time MCU family of scalable, ultra-low latency devices. The MCU real-time control subsystem is based on the 32-bit C28x DSP core, delivering 200 MIPS signal processing performance in each core for floating- or fixed-point code running from either on-chip flash or SRAM. The TMS320F28P65x MCUs are ideal for robot servo drives and mobile robot motor control.
The company's IWR6x mmWave 60GHz to 64GHz sensors are integrated single-chip mmWave sensors based on FMCW radar technology. Built with its proprietary low-power RFCMOS process, the IWR6x mmWave 60GHz to 64GHz Sensors offer outstanding levels of integration in a small form factor. The sensors are ideal for low-power, self-monitored, ultra-accurate radar systems in the industrial space with applications including gesture recognition, motion detection, and proximity and position sensing.
The TDA4VE-Q1/TDA4AL-Q1/TDA4VL-Q1 SoC processors are based on the evolutionary Jacinto 7 architecture and provide high-performance computing for traditional and deep learning algorithms. The SoC processors feature next-generation DSP with scalar and vector cores, dedicated deep learning and conventional algorithm accelerators, current Arm and GPU processors for general computing, and an isolated MCU island. The TDA4VE-Q1/TDA4AL-Q1/TDA4VL-Q1 processors are designed for smart vision camera applications, including machine vision.
