When storage demands exceed the on-board capacity of a robot, there arises a need to use remote computing resource to extract greater computational power & memory, increase collective learning and interconnection of robotics applications. Cloud robotics integrates different cloud technologies like cloud computing, cloud storage and internet based technologies and creates a eco system of shared infrastructure and services for robots.
Key enabling system framework for cloud based robotics:
1. Machine-to-machine level architecture:
A group of robots communicate against each other to create a collaborative computing fabric using wireless links. The computing power from each robot can be used to form a virtual cloud infrastructure which can be used on ad-hoc bases. Further robots which are not in the communication ranges can get access to information stored in the cloud infrastructure.
2. Machine-to-computer level architecture:
The cloud infrastructure can be used to provide a range of shared computation and storage resources which can be allocated to create real-time demand. This computing model gives scope to group of networked robots to offload computation intensive tasks for remote execution.
Key benefits of cloud robotics:
3. Discharge computation related tasks into the cloud:
The robots need to only keep important sensors, actuators and required processing power to enable real-time actions. This helps to extend battery life as well as the platform used to run robots becomes much lighter. It eases the maintenance and for need for regular updates of software and hardware used to run the robots. Further the cloud hardware can be upgraded independently away from the robotic network which helps to extend the operational life of the robotic network.
4. Access to large amounts of data:
There is no need to maintain data within the robot’s storage system. Robots can access and acquire required information and know how to execute tasks via databases in the cloud.
5. Access to used cases and share knowledge:
Using cloud services, robots can share information and learn new skills and knowledge between them. Cloud has the capacity to store and host a database latest skill set and behavior patterns which can be linked to different task and complexities.
According to infoholic Research Cloud robotics market is expected to grow at a CAGR of 32.4% during the period 2016–2022 to touch an aggregate of a sizable $3,061.6 million by 2022.
Key impacts on business and markets:
6. Multiple Cost Cutting:
Cloud robots help in reducing the cost incurred on packaging, marketing, and distribution functions. The cloud based approach will lower the cost and entry barriers which will encourage enterprises to use cloud based robots in their day to day processes’ increased demand will make way to a developed and specialized market for commercial robotic systems.
7. Enhanced Performance
Companies involved in developing robotic systems will get scope to focus on specific aspects of robot performance instead of having to deal with range of technical challenges. This technology is expected to give scope to design and publish millions of mobile applications every year.