The convergence of artificial intelligence with robots has created a new field of smart or intelligent robots. These are designed to execute one or more manual tasks. Their capabilities range from natural language processing, machine learning and data analytics to sensory abilities resembling human perception.
As per the analysis by Consegic Business Insights, Smart Robots Market size is estimated to reach over USD 76,520.68 Million by 2032 from a value of USD 16,265.98 Million in 2024 and is projected to grow by USD 19,456.72 Million in 2025, growing at a CAGR of 24.6% from 2025 to 2032.
Cobots
Cobots, or collaborative robots, are static devices that work alongside humans in industrial workspaces. They are most commonly used for assembling, dispensing, packaging and finishing products, as well as handling raw materials and performing quality control in the electronics, automotive, healthcare, pharmaceutical, logistics and manufacturing industries.
Cobots are designed to prioritize human safety in the workspace. This is achieved by manipulating operational parameters and design features, installing software-controlled sensors, and adhering to strict safety standards. They operate at slow speeds and have rounded edges with non-pinching joints to minimize collisions and injuries. Sensors enable the real-time detection of objects and people, avoiding collisions.
Ultimately, with the integration of AI, the existing benefits of cobots such as flexibility, accuracy, human safety, higher productivity, lower production costs and easy installation, will be enhanced. AI will elevate their performance through reinforcement learning and data analytics.
Mobile Manipulators
Mobile manipulators, also known as MoMas, are industrial robots that move autonomously from one place to another to execute specific tasks. It consists of a manipulation system (robotic arm) along with an autonomous locomotion system (wheels, platform). Models are developed to perform specialized tasks such as pick & place, metrology, part feeding, quality control, packaging, screwing, cleaning, last-mile delivery, outdoor R&D and transfer of large items.
Their main advantages include the increased flexibility and mobility afforded, along with their collaborative applications to work cohesively with humans. Furthermore, these robots are customizable, depending on the operational need, their end-of-arm tool (EOAT) can be switched between grippers, robotic hands, sanders, suction cups and screwdrivers.
Integrated with AI, MoMas can be programmed to execute tasks independently without human intervention, freeing up employees to perform more complex tasks.
Digital Twin Technology
The digital twin technology involves the creation of virtual models of physical items, processes or systems to simulate and study different scenarios without interference and substantial investment at such early stages. This also allows businesses to forecast failures and optimize production.
Its benefits include performance enhancement, process optimization, predictive maintenance and fault detection. With the help of data analytics, developers are able to analyze large amounts of data from physical robots and their digital twins and extract meaningful insights for improvement. This enables them to optimize and enhance their performance. While real-time monitoring and collection of data enables early detection of anomalies and failures, machine learning algorithms and predictive analytics allow proactive scheduling of maintenance, minimizing downtime and improving reliability.
Humanoid Robots
Designed to resemble human structure, appearance and movement, humanoid robots are becoming prevalent in the healthcare, personal assistance and education industries. The robots contain a head, torso, arms and legs as well as cameras, sensors and AI & machine learning abilities to carry out required activities. Certain advanced models are also capable of showcasing facial expressions and manipulating objects with their hands in a human-like manner.
They are used in the healthcare sector to provide basic services like communication of patient information and measurement of vital signs. In hospitality, humanoid robots pour drinks and serve snacks to customers, while others work as hotel concierges. The education sector benefits from the application of such robots by providing schools with a competitive edge, elevating teacher shortages and enhancing education quality. But this technology is still in the nascent stage with substantial advancements required before widespread adoption.
Conclusion
Smart robots, created by the merging of robotics with artificial intelligence, are a rapidly growing sector bolstered by the rise of cobots, mobile manipulators, digital twins and humanoid robots. Cobots provide flexibility, accuracy and human safety while mobile manipulators work autonomously, freeing employees for other tasks. Digital twins technology enables system optimization and proactive maintenance which reduces downtime and humanoid robots increasingly find application in healthcare, personal assistance and education industries.
As the editor of the blog, She curate insightful content that sparks curiosity and fosters learning. With a passion for storytelling and a keen eye for detail, she strive to bring diverse perspectives and engaging narratives to readers, ensuring every piece informs, inspires, and enriches.
