Sushma Devaramani

Hochschule Bonn-Rhein-Sieg, Fraunhofer Institute for Communication, Information Processing and Ergonomics

Papers

Total Citations

H-Index

About

Sushma Devaramani is a robotics researcher advancing autonomous systems and smart city technologies. Her work focuses on perception pipelines for autonomous robots and interoperability frameworks for robotic devices in disaster response scenarios. Devaramani’s most cited paper introduces PAZ (Perception for Autonomous Systems), a hierarchical software library that democratizes robot perception by allowing users to work at multiple abstraction levels—from low-level sensor processing to high-level scene understanding. This design enables both novice developers and expert roboticists to build perception systems efficiently, with the paper accumulating 6 citations since 2020. Her second highly cited work addresses a critical challenge in smart city operations: enabling ROS-based robotic devices to interoperate during Humanitarian Assistance and Disaster Relief (HADR) missions. By bridging IoT and legacy ICT assets, Devaramani’s framework ensures that heterogeneous robots can collaborate seamlessly in urban disaster zones, a contribution cited 5 times since 2019. Her research bridges the gap between theoretical perception algorithms and practical deployment constraints, making autonomous systems more accessible and resilient. Devaramani’s work is particularly notable for its emphasis on real-world usability and standardization, positioning her as a key contributor to the future of smart city robotics and autonomous disaster response.