While AI/ML processing and model development are central to designing an AMR or AGV, special attention must also be paid to their communications, sensing, and navigation/positioning systems. They are key inputs necessary to support algorithms and are critical elements of overall system development.
Richardson RFPD manufacturers represent the world’s leading providers of precision robotics Technology. Our engineers are available to assist in selecting the latest hardware and software solutions to aid in the development of secure, scalable, and reliable products.
Robotics Technologies
Communications
Enables robots to work together in teams, share data and resources by communicating through networks (LAN)/(WAN).
Payload Handling System
Payload Handling is the ability of a robot to manipulate and move objects of various sizes and weights.
Positioning & Navigation
Allows robots to move locations, while accurately performing tasks and determining its position relative to its surroundings.
Sensor System
Sensors provide input to the robot's control system and enable robots to perceive and interact with their environment.
Energy Storage & Supercapacitors
Supercapacitors are ideal for storing energy in ground vehicles due to their rapid charge/discharge efficiency, long lifetime, and high power density.
Interconnect
Enables elements like cameras, sensors and antennas with coaxial connectors, adapters and cable assemblies.
Robotics AGVs & AMRs
Richardson RFPD focus is on industrial robotics with particular interest in Automated Guided Vehicles (AGV’s) and Autonomous Mobile Robots (AMRs).
Automated Guided Vehicles (AGVs) are mobile robots that are designed to move materials and products around a factory, warehouse, or other industrial environments without the need for a human operator. They follow a predetermined path, which can be defined by physical markers or magnetic tape on the floor, or by using laser or optical sensors to detect the environment. AGVs can be equipped with various sensors, such as cameras, lidar, or ultrasonic sensors, to detect obstacles and avoid collisions. They can also be integrated with a warehouse management system or other software applications to optimize their routes and maximize efficiency.
Autonomous mobile robots (AMRs) are robots that can move and navigate independently in their environment without human intervention or guidance. They use sensors, such as cameras, lidar, or radar, to perceive their surroundings and make decisions based on that information to achieve a specific task or goal. They typically have a combination of hardware components, such as wheels, legs, or arms, and software algorithms, such as path planning, localization, and obstacle avoidance, to navigate and interact with their environment.
Robotics Fields
Autonomous mobile robots have applications in various fields, including manufacturing, logistics, healthcare, and agriculture, among others, where they can perform tasks such as transportation, inspection, surveillance, and maintenance.
Agriculture
AMRs can be used to monitor crops and collect data on growth rates, plant health, and soil moisture levels. They can be equipped with sensors and cameras to collect this information and provide farmers with real-time data to help them make informed decisions.
Healthcare
AMRs in healthcare can help to improve patient care, reduce costs, and increase efficiency. By automating repetitive and time-consuming tasks, AMRs can free up healthcare staff to focus on more complex and value-added tasks, leading to a more efficient and effective healthcare process.
Logistics
AMRs are used to pick and deliver products to order fulfillment stations or packing areas. They can navigate through the warehouse or distribution center, locate the desired products, and pick them up to deliver them to the designated location.
Manufacturing
The use of AMRs in manufacturing can help to improve productivity, reduce costs, and increase efficiency. By automating repetitive and time-consuming tasks, AMRs can free up human workers to focus on more complex and value-added tasks, leading to a more efficient and effective manufacturing process.