Welcome to

Cloud Robotics Presented By,

Dhanunjaya09F51A0515

Intellectual Institute of Technology, (IIT-ATP).Anantapur.

Architecture, Challenges and Advantages

Introduction»We propose a new

architecture for the networked robots to increase the efficiency of the robots.

• We discuss the challenges issues related to Technical, Communication, Security.

• We also discuss the Robotic Advantages

Networked Robots

M2M/M2C Communication

Elastic computing models for cloud robotics

Proposed Architectures

1. Peer-Based Model: Every robot in network communicates with every Robot in the cloud

2. Proxy Based Model:A particular Robot acts as the Leader and controls the communication between cloud and other robots.

3. Clone Based Model:Each robot in the network is associated with its corresponding system level clone in the cloud. A task can be executed in the robot or in its clone.

Peer Based Model:-

Here two or more machine is connected with the cloud.

Proxy Based Model:-

Here a machine is connected with the cloud, which is called as the “Leader”, It would be the interface between cloud and machines.

Clone Based Model:-

Each machine is associated with its correspondent clones in the cloud.

Technical ChallengesProperty of being strong

Ability to exchange

info

Free moving nature

Computational and Security Challenges…

εr* ~ L(L/T), Stand alone execution by robot.εc* ~ L(L/T)(n–1). Cloud execution. L=no of bits to transmit T=delay dead line N=no of robotsWe assure the security through1. Trust Establishment Algorithms.2. Trust Measurement Algorithms.3. Reputation-Based Trust approaches.

Advantages

Future Robotic Applications will be in terms of Could Robotics.

Ability to offload computation intensive task to cloud.

Access to shared knowledge and new skills.

Access to vast amount of data .

Conclusion The whole is grater than its parts.Cloud Robotics> Cloud computing + Robotics.

REFERENCES: [1] B. Sicilian and O. Khatib, Eds., Springer Handbook of Robotics, Springer, 2008. [2] IEEE Society of Robotics and Automation’s Technical Committee on Networked Robots, available: http://www-users.cs.umn.edu/~isler/tc/ [3] P. Jacquet et al., “Optimized Link State Routing Protocol for Ad Hoc Networks,” Multi Topic Conf. 2001, IEEE INMIC 2001, Technology for the 21st Century, Proc.

IEEE Int’l., 2001, pp. 62–68. [4] C. Perkins et al., “Performance Comparison of Two On-Demand Routing

Protocols for Ad Hoc Networks,” IEEE Personal Commun., vol. 8, no. 1, Feb. 2001, pp. 16–28.

THANK YOU