Papers

13

Total Citations

102

H-Index

6

About

Ravinesh Chand is a robotics and automation researcher whose work centers on motion planning, control systems, and the integration of robotic technologies into smart city environments. His research has made significant contributions to the development of generalized control frameworks for complex robotic systems, particularly n-link manipulators — both revolute and prismatic — mounted on mobile platforms. A defining feature of his work is the application of Lyapunov-based Control Schemes (LbCS) to derive rigorous stability guarantees for robotic navigation, as demonstrated across multiple highly cited studies on car-like mobile manipulators, prismatic robot arms, and landmark-guided navigation systems. His 2023 paper on linear manipulators has attracted 21 citations, reflecting the field's strong interest in reprogrammable, high-accuracy automation solutions. Chand has also explored hardware implementation, including FPGA-based multiprocessor designs for dual-arm robots, and nonholonomic systems such as autonomous Segways. His more recent work extends into collaborative multi-agent mobile manipulators and systematic reviews of smart city robotics applications, underscoring a broadening research vision. With over 90 cumulative citations, Chand's contributions offer both theoretical rigor and practical relevance to modern autonomous systems engineering.

Research Focus

Key Achievements

6
H-Index
13
Papers
102
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Linear manipulator: Motion control of an n-link robotic arm mounted on a mobile slider
21 citations · 2023
📈 Most Prolific Year: 2022 (5 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of the South Pacific, Fiji National University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago