Papers

1

Total Citations

3

H-Index

1

About

T. R. Shourya is a researcher specializing in embedded systems, control algorithms, and application-specific robotics design. Their work focuses on the critical intersection of hardware selection and software optimization, particularly in the development of efficient micro-controller-based systems for specialized robotic applications. Shourya’s most cited paper, "Parametrics for the choice of Embedded Systems and Control Algorithms for Application Specific Robot Designs" (2018), provides a systematic framework for selecting appropriate micro-controllers and control strategies tailored to specific robotic tasks. This contribution is especially relevant to fields such as automobile engine control systems, bio-medical devices, and consumer electronics, where embedded systems must balance performance, power, and cost. With 3 citations, this work has informed engineers and researchers seeking to streamline design processes in constrained environments. Shourya’s research is valuable for students and practitioners aiming to bridge hardware capabilities with algorithmic demands, offering practical parametrics that reduce development time and improve system reliability. Their work underscores the importance of tailored design in the rapidly evolving landscape of embedded robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Parametrics for the choice of Embedded Systems and Control Algorithms for Application Specific Robot Designs
3 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: R.V. College of Engineering

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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