Rising use of IoT in robots for cost-effective predictive maintenance is a Robot as a Service Market Driver

 Rising use of IoT in robots for cost-effective predictive maintenance is a driver.

The term "Internet of Things" refers to the digital networking of various machines and systems in order to create integrated processes. Predictive maintenance is the process of anticipating potential problems before they occur. An IoT-based solution allows for the storage of terabytes of data and the parallel execution of machine learning (ML) algorithms on multiple computers to forecast potential hazards and pinpoint when industrial equipment is likely to fail, assisting in predictive maintenance. Data from various sensors in a robot, such as heat and voltage sensors, is collected on the cloud and analysed using ML algorithms..Machine learning algorithms are used to uncover hidden correlations in datasets and detect abnormal data patterns.


Historically, maintenance activities were planned based on the time since the last check and the age of the equipment. According to a global study conducted by the ARC Group (US), only 18% of equipment fails due to age. The remaining 82% of failures occur at random. The use of IoT in robots for predictive maintenance has significantly reduced maintenance costs and downtime. iRobot (US), Amazon Robotics (US), and DJI (China) are just a few of the companies that have integrated IoT with their service robots to provide predictive maintenance and low maintenance costs.

Robot as a Service Market: Restraint

Data ownership raises ethical concerns, particularly with the rise of software services for robotics. Data collected by ground robots may differ significantly from data collected by drones. Individuals' private information is available on the cloud as the use of domestic robots for household chores, education, and entertainment grows. This data is frequently purchased by third parties, such as marketing and database agencies, and individuals' privacy may be violated. Amazon (US) and Google (US), for example, have enabled voice activation and smart response for various robots such as the Lynx (humanoid) and Roomba (vacuum cleaner). The voice from this device can be infringed upon and misused. As a result, data security must also be taken into account. Governments around the world must also consider other ethical aspects of robots, such as liability frameworks and the reuse of robot-collected data for research or studies. The lack of standardization in robotics technologies, such as AI and machine vision, further complicates system integration, as most equipment manufacturers use proprietary interface protocols for communication. The consequences of a data breach are significant in industries such as healthcare and military and defense, necessitating regulations that do not stifle robotics-related technologies.

Robot as a Service Market: Opportunity 

Swarm robotics is a method of coordinating multiple robots as a system. Swarm robotics is distinguished by its scalability, flexibility, and robustness. Robots can perform a variety of complex tasks with ease thanks to swarm intelligence. For example, swarm intelligence allows drones to cover a larger area faster because the range of the Internet can be increased by sharing the Internet among the drones. In 2018, a group of Harvard University engineers created a swarm of robotic bees. These RoboBees can be used for military surveillance or search and rescue missions. Swarms may even pollinate crops and flowers, mimicking the behaviour of their biological cousins. Drone swarms, or groups of dozens of fixed-wing drones flying in formation, could be the future of unmanned combat. During the Syrian Civil War, Russian forces in the region reported swarms of fixed-wing drones loaded with explosives attacking their main air force base in the country. Disaster rescue missions are one of the most promising applications of swarm robotics. Swarms of robots of various sizes can be sent to locations where rescue workers cannot safely enter to detect the presence of life using infrared sensors. Swarm robotics is well suited to tasks that require low-cost designs, such as mining or agricultural foraging. Swarm intelligence-based controls for nanobots to fight cancer. The main advantage of swarm robotics is that the systems become robust, as the reliance on individual drone operators is less. With swarm intelligence, the Robot as a Service Market  increases significantly.

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