Navrattan Parmar
Papers
1
Total Citations
6
H-Index
1
About
Navrattan Parmar is a researcher focused on the critical intersection of real-time systems, middleware interoperability, and automotive software architectures. His work addresses the challenge of achieving seamless syntactic interoperability in complex, safety-critical environments. Parmar’s most notable contribution, detailed in his 2020 paper "Syntactic Interoperability in Real-Time Systems, ROS 2, and Adaptive AUTOSAR Using Data Distribution Services: An Approach," proposes a systematic method for enabling communication between ROS 2 and Adaptive AUTOSAR platforms via the Data Distribution Service (DDS) standard. This work is particularly significant for the development of autonomous vehicles and advanced robotics, where heterogeneous systems must reliably exchange data under strict timing constraints. With 6 citations, his research provides a foundational approach for engineers and researchers working to unify disparate real-time frameworks. Parmar’s contributions help bridge the gap between academic robotics platforms and industrial automotive standards, offering practical solutions for next-generation embedded systems. His focus on middleware-level interoperability continues to influence the design of scalable, real-time distributed systems.
Research Focus
Key Achievements
Top Papers
- 1