Before the COVID-19 pandemic, autonomous mobile robot (AMR) and autonomic guided vehicle (AGV) were changing the landscape across many industries - including healthcare, factory, warehouse, logistics and others. Undoubtedly, AMR and AGV can help deal with massive staffing shortages, and the need for social distancing in the post-pandemic era. Autonomous Mobile Robot (AMR) is a vehicle that uses on-board sensors and processors to autonomously move materials without the need for physical guides or markers. The AMR’s main components include controller, computing unit, battery, motors, sensors and camera. Automated Guided Vehicle (AGV) is an industrial vehicle that can be pre-programmed to transport goods in a warehouse, manufacturing and other environment. The AGV’s main components include traction motor, traction batteries, industrial PC (or on-board controller) and payload interface. The greatest advantage of AMR over AGV is that AMR provides alternative navigation options. An AMR navigates using a predefined map and plans its own routes to the destination. It can detect obstacles similar to an AGV, but it is slightly smarter because it can avoid the obstacles by navigating around it. Therefore, AMR robot is considered more flexible because it can change its path dynamically with less effort. AMR robot is perceived to be much more costly compared to an AGV, in reality, the AMR could be more cost effective due to its flexibility and ease to set up.
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. AI will become an integral part of setting up and using AMRs, simplifying their deployment process and improving their workflow. Some AMRs are taking those smarts to the next level with artificial intelligence coupled with strategically placed cameras that function as extended robot sensors. With AI, AMRs can learn to adapt their behavior appropriately, even before they enter an area. This means they can avoid high-traffic areas during specific times, including when materials are regularly delivered and transferred by fork truck, or when large crowds of workers are present during breaks or shift changes.
The DRPC-230-ULT5 could endure up to 70°C operating temperature to deliver constant performance with CPU running steadily above its base frequency. The model with expansion layer provides rich I/O and PCIe x4 signal to support add-ons such as IEI acceleration cards (Mustang-V100-MX8 or Mustang-V100-MX4), opening the door to faster deployments of AI inference systems. The DRPC-230-ULT5 can connect to camera for visual recognition. It enables machine learning by using a variety of training models to simulate and infer the status or appearance of objects. For example, the inference system with the video analysis model can perform obstacle analysis for AMR.
Hospital Hospital material transport Reduce the heavy workload of nursing staffs Reduce the risk of cross-infection
Factory Handle large amounts of materials Pick up goods Improve production efficiency and assembly quality
E-Commerce Reduce the labor intensity of workers Important tool for moving goods Important tool for sorting goods
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