Violeta Holmes

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About

Violeta Holmes is a researcher at the forefront of cloud robotics and autonomous systems, with a focus on integrating low-cost hardware, efficient power management, and network-aware perception. Her work addresses critical challenges in making robots more practical and energy-efficient for real-world deployment. A key contribution is her development of a low-cost indoor mapping system, which combines an Asus Xtion Pro 3D sensor with a Raspberry Pi on a Turtlebot, using Gmapping algorithms to create accurate environmental maps. This work, cited 13 times, demonstrates her commitment to accessible robotics. Holmes also investigates the network demands of cloud-connected robots, as shown in her study on the impact of video streaming quality on bandwidth consumption during face recognition tasks with the NAO humanoid robot (7 citations). To further enhance operational efficiency, she pioneered a web-based Wireless Wake-on-LAN (WWoL) approach for remotely powering up robots, directly addressing power consumption in cloud robotics systems. Through these interconnected contributions, Holmes is advancing the practicality of autonomous systems, making them smarter, more connected, and more sustainable.