Other robotisation solutions is a broad category that includes novel, non-standard, and interdisciplinary applications of robotics that do not fit directly into more traditional categories, such as industrial robots or autonomous vehicles. This includes advanced robotic solutions in sectors such as medicine, agriculture, and the service industry as well as new types of support robots that can assist people in daily activities, work in hazardous conditions, or develop future technologies.
Other Robotic Solutions
Type of technology
Description of the technology
Basic elements
- Mobile robots: Machines that can move autonomously over various terrains, supporting people in hard-to-reach or dangerous areas.
- Humanoid robots: Advanced robots designed to interact with humans, capable of assisting in daily tasks or performing educational and caring functions.
- Collaborative robots (cobots): Robots designed to work with humans on production lines that are easy to program and safe to use.
- Control systems: Software and algorithms to control robots, plan their movements, and adapt to dynamically changing conditions.
- Human-robot interfaces: Tools to facilitate human-robot communication and interaction, such as voice, touch, or gesture-based control.
Industry usage
- Agriculture: Robots for automated crop harvesting and crop condition monitoring.
- Medicine: Robots to support precision surgery or assist in patient rehabilitation.
- Education: Humanoid robots to support children’s learning, such as programming or foreign languages.
- Care: Robots caring for the elderly that can monitor health and support daily living functions.
- Services: Robots in hotels that serve guests, deliver food, or perform other service tasks.
Importance for the economy
Other robotisation solutions are opening up new opportunities in many sectors, supporting the development of innovations, automation of work, and improvements in safety and living comfort. With advanced robots, it is possible to develop the service sector, including hotels, healthcare, and education, where robots can perform support functions. Robotisation in new areas of the economy is helping to increase the productivity and innovation of companies, enabling the development of new business models.
Related technologies
Artificial Intelligence
Collaborative and humanoid robots use AI for speech, image, and decision-making recognition.
Cybersecurity
Modern robotic solutions require safeguards against cyber threats to protect control systems and user data.
Big Data
The data collected by the robots is analysed to optimise their work and improve the efficiency of the processes in which they participate.
Internet of Things
Mobile and collaborative robots can be part of a larger IoT network, communicating with other devices in real time.
Automation
Innovative robots support process automation in sectors such as medicine, agriculture, and logistics.
Mechanism of action
- The advanced robots used in the customised solutions operate based on a combination of sensors, navigation systems, Artificial intelligence, and human-robot interfaces. Mobile robots can move autonomously by analysing data from the environment, while humanoid robots are able to respond to voice commands and interact with humans. Control systems integrate sensor data and enable robots to adapt to changing conditions, improving their efficiency.
Advantages
- Support in hazardous environments: Robots can perform tasks in conditions that are dangerous to humans, such as mines or disaster zones.
- Increasing productivity: The automation of processes in new economic sectors enables improvements in productivity and service quality.
- New supporting features: Humanoid robots can support humans in everyday tasks, such as caring for the elderly.
- Increasing the availability of services: Automating services with robots helps reduce operating costs and increase accessibility for customers.
- Personalisation: Modern robots can be customised to meet individual user needs, e.g. in education or therapy.
Disadvantages
- Implementation costs: New robotic technologies are expensive to implement and maintain.
- Ethical issues: The use of robots in some areas, such as human care, raises questions about the ethics of their use.
- Technology dependence: The increase in dependence on robots may lead to the loss of some manual skills for humans.
- Risk of cyber attacks: Robotic systems can be the target of cyber attacks, posing a threat to data security and robot operations.
- No regulations: The rapid development of robotics in new sectors may overtake the development of relevant regulations.
Implementation of the technology
Required resources
- Advanced robots: Different types of robots, from mobile robots through humanoid robots to collaborative robots (cobots).
- Sensors and navigation systems: Sensors responsible for analysing the environment and avoiding obstacles.
- AI software: Artificial intelligence algorithms to enable autonomous operation and decision-making by robots.
- IT systems: Infrastructure for real-time monitoring and management of robot operations.
- Automation experts: Engineers responsible for implementing, programming, and servicing advanced robots.
Required competences
- Robotics engineering: Ability to design and implement robots in various economic sectors.
- AI programming: Competence in programming Artificial intelligence algorithms for robots.
- Management of robotic systems: Knowledge of how to manage the IT infrastructure that supports robotisation.
- Data analysis: Ability to analyse data collected by robots and optimise their performance.
- Cybersecurity: Knowledge of the principles of protecting robotic systems from cyber threats.
Environmental aspects
- Energy consumption: Advanced robots consume a significant amount of energy, which affects the energy balance.
- IT equipment recycling: Replacing and upgrading robots generate electronic waste that must be properly processed.
- Optimisation of resource consumption: Robots can improve the efficiency of using raw materials in various processes.
- Waste reduction: Precision robots minimise production waste, e.g. in agriculture and medicine.
Legal conditions
- Safety standards: Robots must comply with safety standards, such as ISO 10218, for robot-human collaboration (example: ensuring safe operation of collaborative robots).
- Patents and licences: Technologies used in robotics must be protected by intellectual property laws (example: robot software licences).
- Environmental regulations: Robots must operate in accordance with environmental standards, such as energy efficiency (example: optimising energy consumption).
- Export regulations: Exports of advanced robots may be subject to legal restrictions (example: export control of robotic technology).