Max Robotics — Global Service Robot Directory + US Certification

About

Professor Kotagiri Ramamohanarao is a leading figure in distributed systems, artificial intelligence, and tactile robotics, with a career spanning foundational contributions to both theory and application. His work on **context-aware fog computing** addresses a critical challenge of Industry 4.0: the placement of latency-sensitive applications across distributed fog nodes. His 2019 paper on this topic, cited over 90 times, provides algorithms that optimize resource allocation while meeting quality-of-service constraints, directly enabling smarter, more responsive industrial IoT ecosystems. In the domain of **robotic tactile perception**, Ramamohanarao has pioneered deep learning architectures for object recognition through touch. His 2016 work introduced a hierarchical fusion strategy using randomized tiling convolutional networks, achieving efficient spatio-temporal feature extraction from tactile sensor data. This was further refined in 2018 with an end-to-end ConvNet employing residual orthogonal tiling and pyramid convolution ensembles. With over 140 citations across these tactile recognition papers alone, his research has significantly advanced the ability of robots to identify objects through physical interaction—a key enabler for autonomous manipulation and human-robot collaboration. A Fellow of the Australian Academy of Science and the Australian Academy of Technological Sciences and Engineering, Ramamohanarao’s work continues to shape the future of intelligent, distributed systems.