Fog Robotics

Chand Gudi defined Fog Robotics as an architecture which consists of storage, networking functions, control with decentralized computing closer to robots.

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Fog Robotics Wikipedia page is currently available where definition and other examples are being used as a reference.

ESNC, European Space Agency: Smart watch for Alzheimer’s/Dementia patients (first mention of Fog Robotics), Winner

Fog Robotics was first coined by Chand GUDI at few world's top-notch competitions including ESNC 2017 (Winner) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) as an Introduction paper - "Fog Robotics: An Introduction". Later another paper titled "Fog Robotics for Efficient, Fluent and Robust Human-Robot Interaction" was published at 17th IEEE International Symposium on Network Computing and Applications (NCA 2018). Few more will be available online soon based on various scenarios with implementation ensuring for wide adoption of Fog Robotics.

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New paper available: "Fog Robotics: A Summary, Challenges and Future Scope"

Short Abstract:

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Active communication between robots and humans is essential for effective human-robot interaction. To accomplish this objective, Cloud Robotics (CR) was introduced to make robots enhance their capabilities. It enables robots to perform extensive computations in the cloud by sharing their outcomes. Outcomes include maps, images, processing power, data, activities and other robot resources. But due to the colossal growth of data and traffic, CR suffers from serious latency issues. Therefore, it is unlikely to scale a large number of robots particularly in human-robot interaction scenarios, where responsiveness is paramount. Furthermore, other issues related to security such as privacy breaches and ransomware attacks can increase. To address these problems, we have envisioned the next generation of robotic architectures based on Fog Robotics (FR) that inherits the strengths of Fog Computing to augment the future robotic systems. These new architectures can escalate the dexterity of robots by shoving the data closer to the robot. Additionally, they can ensure that human-robot interaction is more responsive by resolving the problems of CR.

Publications:

I prefer patents and commercialisation that could impact the world than publications

GUDI Siva Leela Krishna Chand, Benjamin Johnston, Mary-Anne Williams, "Fog Robotics: A Summary, Challenges and Future Scope"

GUDI Siva Leela Krishna Chand, Suman Ojha, Benjamin Johnston, Jesse Clark,Mary-Anne Williams, “Fog Robotics for Efficient, Fluent and Robust Human-Robot Interaction” In 17th IEEE International Symposium on Network Computing and Applications, Cambridge, MA USA, November 1-3, 2018

Sarita Herse, Jonathan Vitale, Daniel Ebrahimian, Meg Tonkin, Suman Ojha, Sidra, Benjamin Johnston, Sophie Phillips, Siva Leela Krishna Chand GUDI, Jesse Clark, William Judge, Mary-Anne Williams, "Bon Appetit! Robot Persuasion for Food Recommendation" In 13th Annual ACM/IEEE International Conference on Human Robot Interaction, Chicago, IL, USA March 5-8, 2018

GUDI Siva Leela Krishna Chand, Suman Ojha, Sidra, Benjamin Johnston, Mary-Anne Williams, “A Proactive Robot Tutor based on Emotional Intelligence” In International Conference on Robot Intelligence Technology and Applications, KAIST Daejeon, South Korea December 13–15, 2017

Suman Ojha, GUDI Siva Leela Krishna Chand, Jonathan Vitale, Mary-Anne Williams, Benjamin Johnston, “I Remember What You Did - A Behavioural Guide Robot” In International Conference on Robot Intelligence Technology and Applications, KAIST Daejeon, South Korea December 13–15, 2017

GUDI Siva Leela Krishna Chand, Suman Ojha, Jesse Clark, Benjamin Johnston, Mary-Anne Williams, “Fog Robotics: An Introduction” In IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, BC, Canada September 24–28, 2017

Ashish Rauniyar, Dae Ro Jeong, G.S.L.Krishna Chand, Soo Young Shin​," Performance Analysis of Cascaded Energy and Matched Filter Detector With Malicious Users in Cognitive Radio Networks", In Proceedings of The 2015 International Symposium on Intelligent Signal Processing and Communication Systems(ISPACS 2015​), Bali, Indonesia, 9-12 November, 2015

GUDI Siva Leela Krishna Chand, Soo Young Shin, " Posture Sensor: Cross Leg Detector at Knee Level", In Proceedings of 10th EAI International Conference on Body Area Networks (BODYNETS), Sydney, Australia, 28-30 September, 2015