Intelligent Robot Control Chip

Intelligent Robot Control Chip

Category: Edge AI Vision Chips & Main Control SoCs
Catalog NO: AIMRSE-AIG-EM-004
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Product Description

This product is a versatile chip series built around a quad-core Arm® Cortex®-A53 CPU paired with an Imagination PowerVR GE8300 GPU, delivering solid computing and graphics performance for intelligent robotic applications.

It boasts robust hardware video encoding and decoding capabilities, alongside a rich set of display interfaces to support various screen configurations. The chip also offers extensive peripheral connectivity, including standard interfaces like USB, SDIO, TWI, SPI, UART, EMAC, PWM, LEDC, LRADC, GPADC, and IR, enabling seamless integration with a wide range of sensors and peripherals.

Designed to meet the demands of autonomous robotic systems, this product is well-suited for multiple product forms, such as robotic vacuum cleaners, robotic lawn mowers, pool cleaning robots, service robots, and quadruped walking robots, providing a reliable and flexible foundation for smart mobility solutions.

Technical Specifications

Interface USB OTG & HOST, SDIO 3.0, EMAC

UART *6, TWI *6, SPI *3

PWM, LEDC

GPADC, LRADC, IR
Memory Support LPDDR2

Support DDR3/DDR3L/LPDDR3

Support DDR4/LPDDR4
Product Features 1)Highly Integrated Core Architecture

Integrates a quad-core Arm Cortex-A53 CPU and dedicated GPU, delivering a balanced combination of general-purpose computing and graphics processing power.

2)High-Performance Video Encoding

Supports hardware video encoding at up to 1080P@60fps, enabling smooth high-definition video capture and transmission for visual perception applications.

3)Extensive Peripheral Connectivity

Provides a rich set of standard interfaces, including USB, SDIO, TWI, SPI, UART, EMAC, PWM, LEDC, LRADC, GPADC, and IR, ensuring seamless integration with a wide range of sensors and external devices.

4)Accelerated Visual Navigation Algorithms

The built-in GPU offers efficient computing power specifically optimized for SLAM/Visual SLAM (VSLAM) algorithms, enabling robust real-time positioning and mapping for autonomous robotic systems.
CPU Quad-Core Arm Cortex-A53, up to 1.5GHz
GPU Imagination PowerVR GE8300
Video Encoder H.264 - 1080P@60fps

JPEG - 4096*4096
Camera MIPI CSI - 4-lane + 2-lane
Software System Tina Linux

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