Cloud robotics uses the cloud’s power to power robots. Cloud-connected robots may analyse and exchange information with the other robots, machines, smart items, people, and so on by utilising data centres’ tremendous compute, storage, and communication resources. Humans can also assign duties to them remotely.
Aside from faster performance, cloud robotics also allows consumers to save money. As a result, cloud robotics enables the development of lighter, low-cost, intelligent robots with such an intelligent cloud-hosted “brain.”
Cloud Robotics in various Areas :-
Lets discuss some cloud robotics applications in various areas :
Cloud Medical Robots
Disease archive, electronic medical records (EMRs), patient health management solutions, practise services, analytics services, clinical solutions, expert systems, and other services are available in medical clouds or healthcare clusters. Cloud robots use these clouds to aid doctors and give healthcare services to patients. They also allow users to collaborate by exchanging clinical treatment information.
Autonomous Mobile Robots
Did you realise Google’s self-driving cars are actually cloud robots? They use the company’s database of maps, satellite and environment models, and data from Global Positioning System (GPS), camera, and 3D sensors to track their locations and avoid collisions. Cloud robotics enables automobiles to learn about their surroundings, highways, and driving conditions. It also allows them to transfer the data to the Google cloud in order to enhance the performance of many other automobiles.
From a professional knowledge base, cloud-based industrial robots learn to accomplish tasks like sewing wires or cables or aligning gaskets. They can also exchange data with other robots for collaborative work. Customers may also place bespoke product orders directly through online ordering systems using cloud robotics. Some industrial robots in development include shopping delivery robots. Cloud robotics, if deployed, has the potential to automate warehouse robots by dispatching orders via autonomous automobiles or drones for distribution to their destination (eg: Amazon).
Domestic robots are being utilised for geriatric healthcare and life monitoring. They monitor patients’ health and share data with cloud-intelligent machines or clinicians. They can, for example, keep the elderly from falling or give immediate assistance in the event of a heart attack. They can also notify the patients’ careers in the event of an emergency.
Studies ongoing in Cloud Robotics :
Following are the various studies ongoing in the Cloud Computing area :
RoboBrain learns via open Online sources, computer models, and real-world robot experiments. It collects and saves information in a vast and linked knowledge base. It is utilised for robotics research prototypes as well as data transmission to domestic robots and self-driving automobiles. Its goal is to establish a centralised, always-on brain that robots may access.
MyRobots is an Internet-connected service for robots and intelligent gadgets. It may be thought of as a social media network of robots and smart gadgets. Robots may learn from people through “socialising, cooperating, and sharing.”
RoboEarth, a European Union (EU)-funded project, intends to allow robots to learn from the experiences of other robots in terms of improving machine cognition and, ultimately, enable finer and more complex human-machine interaction. Its Internet-style database holds machine-readable knowledge created by people and machines. It includes information about software components, navigation maps , task knowledge (such as action recipes and manipulation methods), and visual recognition models (e.g., images and object models).
Limitations of Cloud Robotics
- Robot movements that rely heavily on real-time sensors & controller feedback cannot be controlled by cloud robotics.
- Because real-time activities need on-board computation, cloud robotics cannot enable robots to accomplish them.
- Due to network issues, cloud-based apps may slow down or to become inaccessible. Robots who rely too heavily on the cloud risk becoming “brainless” if the network goes down.
While cloud robotics has the potential to enhance the way robots perform, many people feel it poses hazards such as environmental security, privacy and security, including ethical issues.