Soheyb Ayad
Papers
4
Total Citations
28
H-Index
4
About
Soheyb Ayad is a pioneering researcher in the emerging field of cloud robotics, where he explores the intersection of cloud computing and autonomous systems. His work focuses on offloading computational tasks from robots to cloud platforms, enabling them to overcome hardware limitations and operate more intelligently. Ayad’s most cited paper, “Towards a new cloud robotics approach” (2015, 11 citations), lays the groundwork for integrating cloud resources with robotics, addressing challenges in industrial, medical, and educational applications. He further advances this concept with practical implementations, such as a cloud robotics platform for environmental monitoring in data centers (2019, 7 citations), demonstrating how robots can efficiently manage energy consumption and temperature control. Ayad also contributes to humanoid robotics, developing web services for the NAO robot in cloud environments (2017, 6 citations), and proposes a “Robot as a Service” model using semantic web services for ROS (2022, 4 citations). His work is notable for bridging theoretical frameworks with real-world solutions, making cloud robotics accessible for automation and monitoring tasks. With a growing citation impact, Ayad is shaping the future of intelligent, cloud-connected robotics.
Research Focus
Key Achievements
Top Papers
- 1Towards a new cloud robotics approach11 citations · 2015
- 2Robotics based Solution for Data Center E-Monitoring7 citations · 2019
- 3
- 4Semantic web services for ROS: a Robot as a Service approach4 citations · 2022