Experts discuss autonomous mobile robots in new eBook from Mouser and TI
Mouser has announced a new eBook in collaboration with Texas Instruments (TI). In this eBook, 13 industry experts explore how autonomous mobile robots (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 Texas Instruments helps its customers build next-generation mobile robotics with innovative products.
The LM74680EVM evaluation module allows 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 heat sinks, and reduces printed circuit board (PCB) area by enabling lower voltage drop and reduced power dissipation. Applications include internet protocol (IP) cameras and power distribution systems.
The TMS320F28P65x real-time microcontrollers (MCUs) from TI belong to the C2000 real-time microcontroller family of scalable, ultra-low latency devices. The microcontroller 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 suitable for robot servo drives and mobile robot motor control.
TI’s IWR6x mmWave 60GHz to 64GHz sensors are integrated single-chip mmWave sensors based on FMCW radar technology. Built with TI’s proprietary low-power RFCMOS process, the IWR6x mmWave 60GHz to 64GHz Sensors offer exceptional 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 system-on-chip (SoC) processors are based on the 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.
