Ambarish Kulkarni

Swinburne University of Technology

Papers

3

Total Citations

225

H-Index

3

About

Ambarish Kulkarni is a leading researcher at the intersection of cloud robotics, edge computing, and cyber-physical systems, with a focus on optimizing resource allocation for smart manufacturing and agriculture. His work addresses critical challenges in the fourth industrial revolution, where cloud-enabled robots must offload tasks efficiently despite multi-hop network delays. Kulkarni’s most impactful contribution is his pioneering framework for multi-objective resource allocation in edge-cloud robotic workflows for smart factories, which has garnered 129 citations and serves as a foundational reference for latency-sensitive industrial automation. He further advanced the field with a communication-aware task offloading model that integrates on-demand mobility for smart factory maintenance (60 citations), demonstrating how to balance computation and communication constraints in real-time. Extending his expertise to agriculture, Kulkarni developed a robotic edge resource allocation strategy for cyber-physical-social systems (36 citations), enabling cloud-aided robots to reduce human effort while overcoming data transfer delays. His work is notable for bridging theoretical optimization with practical deployment in Industry 4.0 and precision agriculture, making him a key voice in the evolution of intelligent, distributed robotic systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
225
Total Citations
75
Avg Citations/Paper
🏆 Most Cited Paper
Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory
129 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Swinburne University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago