G. Avinash Sharma

Papers

1

Total Citations

2

H-Index

1

About

Dr. G. Avinash Sharma is a robotics researcher whose work centers on the geometric foundations of robotic motion planning and control. His most-cited contribution, "Geometrical significance of trajectory planning through polynomial equation – Customized RPPPRR model robot" (2023), introduces a novel approach to trajectory generation by leveraging polynomial equations to optimize path smoothness and precision for a customized six-degree-of-freedom RPPPRR manipulator. This work has garnered 2 citations, marking a promising start in a field where practical, geometry-driven solutions are critical for industrial automation and advanced robotics. Dr. Sharma’s research bridges theoretical kinematics with real-world application, offering a systematic method for reducing computational complexity in trajectory design. His focus on customized robot models highlights a commitment to tailoring solutions for specific mechanical architectures, a valuable skill in modern robotics. As an emerging voice in the field, Dr. Sharma’s contributions are poised to influence future developments in automated manufacturing, surgical robotics, and autonomous systems, where efficient and accurate path planning remains a core challenge.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Geometrical significance of trajectory planning through polynomial equation – Customized RPPPRR model robot
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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