The global adaptive robotics market to grow at a CAGR of 27.20% during the period 2017-2021.
Global Adaptive Robotics Market 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
One trend in the market is integration of swarm technology in adaptive robots. After analysis and introspection, many engineers and scientists have tried to adapt automation to highly efficient patterns observed in nature. Worker ants are noted examples of efficient workers that execute all tasks in a focused manner, while maintaining constant communication.
According to the report, one driver in the market is increasing adoption of lean and flexible manufacturing. The global industrial robots market is expected to witness escalating growth with technological advances and R&D investments in robotic science. The adoption of robotics is on a rise owing to the implementation of robotics solutions to achieve high productivity, operational efficiency, and replace manual interventions in major industries such as metal processing, automotive, chemicals, electrical and electronics, and F&B. With changing market dynamics and intense competition among OEMs, there is a surge in the adoption of automation and robotics solutions that can optimize production costs and reduce reliance on heavy automation and manual labor.
Further, the report states that one challenge in the market is complexity in designing. Adaptive robots are very complex in their design as they need to consider dual complexity. First, these robots need to comply with the internal complexity of the design to optimize components and establish communication with various modules. Second, these robots need to maximize their capabilities to sense the environment, learn, and reconfigure themselves with functional architecture. Moreover, to design a robot that has to work in hazardous environments, robots need to provide increased dexterity to adapt to difficult terrains that complicate the programming environment even further.
Integration of swarm technology in adaptive robots