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About

Ramesh Krishnamurti is a pioneering researcher whose work sits at the intersection of robotics, computer vision, and computational design for architecture and construction. His primary research areas include view planning for robotic inspection, automated construction processes, and additive manufacturing. Krishnamurti made foundational contributions to the metric view planning problem, introducing the critical concept of combined view and traveling costs—a formulation that optimizes both the number of viewpoints and the robot's travel distance for complete surface inspection. His most cited work, "View Planning Problem with Combined View and Traveling Cost" (2007, 38 citations), along with subsequent papers on complexity results and visibility range, established a theoretical framework that has influenced autonomous inspection and surveillance systems. Beyond theoretical robotics, Krishnamurti has advanced practical applications in architecture and construction, from early work on CAD and robotics integration (1986) to recent innovations in robotic free-oriented additive manufacturing for thermoplastic lattice structures (2019). His research on the REPLICA computer architecture for active multi-sensory perception of 3D objects demonstrates his breadth in designing specialized hardware for perception tasks. Through his career, Krishnamurti has bridged computational geometry, robotics, and building design, shaping how autonomous systems perceive and interact with physical environments.