What are the most innovative ways to monitor and track robot performance in industrial automation?

1 Vision-based systems

One of the most common and effective ways to monitor and track robot performance is to use vision-based systems. These systems use cameras, sensors, and software to capture and analyze images of the robot's actions and environment. Vision-based systems can detect errors, defects, anomalies, or deviations in the robot's movements, products, or surroundings. They can also provide feedback, guidance, or correction to the robot or the operator. For example, vision-based systems can help robots align parts, inspect quality, or avoid collisions.

2 IoT and cloud computing

Another way to monitor and track robot performance is to use the Internet of Things (IoT) and cloud computing. IoT refers to the network of connected devices that can communicate and exchange data. Cloud computing refers to the delivery of computing services over the internet. By using IoT and cloud computing, robots can send and receive data to and from a central server or platform. This data can include information about the robot's status, performance, output, or condition. It can also enable remote monitoring, control, or diagnosis of the robot from anywhere and anytime.

3 Machine learning and artificial intelligence

A third way to monitor and track robot performance is to use machine learning and artificial intelligence (ML and AI). ML and AI are branches of computer science that enable machines to learn from data and perform tasks that require human intelligence. By using ML and AI, robots can monitor and track their own performance and learn from their experience. They can also adapt to changing conditions, optimize their operations, or improve their skills. For example, ML and AI can help robots detect faults, predict failures, or self-repair.

4 Digital twins

A fourth way to monitor and track robot performance is to use digital twins. Digital twins are virtual replicas of physical objects or systems that simulate their behavior and interactions. By using digital twins, robots can have a digital counterpart that mirrors their real-world state and performance. This can help monitor and track the robot's activities, parameters, or outcomes in real time or in different scenarios. It can also help test, validate, or optimize the robot's design, configuration, or operation before implementation.

5 Blockchain and smart contracts

A fifth way to monitor and track robot performance is to use blockchain and smart contracts. Blockchain is a distributed ledger that records transactions in a secure and transparent way. Smart contracts are self-executing agreements that are encoded on the blockchain. By using blockchain and smart contracts, robots can monitor and track their performance in a decentralized and verifiable way. They can also execute tasks or transactions according to predefined rules or conditions. For example, blockchain and smart contracts can help robots coordinate, cooperate, or compete with other robots or agents.

6 Haptic feedback

A sixth way to monitor and track robot performance is to use haptic feedback. Haptic feedback is the use of touch or force to convey information or sensations. By using haptic feedback, robots can monitor and track their performance by feeling their actions or effects. They can also provide feedback or guidance to the operator or the user by applying pressure, vibration, or motion. For example, haptic feedback can help robots sense their environment, adjust their force, or enhance their teleoperation.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?