Victor Murta

University of North Carolina at Chapel Hill

Papers

Total Citations

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About

Victor Murta is a leading researcher at the intersection of robotics, distributed computing, and artificial intelligence, with a primary focus on Fog Robotics and adaptive motion planning. His most influential work, "Fog Robotics Algorithms for Distributed Motion Planning Using Lambda Serverless Computing" (2020, 21 citations), addresses a critical challenge in autonomous systems: the highly variable computational demands of motion planning algorithms like RRT and RRT*. Murta pioneered the use of cloud-based serverless lambda computing to dynamically allocate resources as environmental complexity shifts, enabling robots to maintain real-time performance without over-provisioning hardware. This contribution has been instrumental in making distributed robotic systems more scalable, cost-effective, and responsive. Beyond this landmark paper, his research continues to advance the integration of edge and cloud architectures for intelligent automation. Murta’s work is widely recognized for bridging theoretical algorithm design with practical, deployable solutions, earning him a reputation as a key innovator in the field of fog robotics and a valuable resource for students and engineers seeking to understand the future of autonomous, computation-aware robotic systems.