About

Pravesh Kumar is a researcher whose work spans robotics, flexible manipulator dynamics, and intelligent systems, with a particular focus on advancing the theoretical and computational understanding of robotic mechanisms. His most influential contribution, "Modal Characterization with Nonlinear Behaviors of a Two-Link Flexible Manipulator" (2019), has garnered 17 citations and established him as a notable voice in the study of flexible robotic structures, examining how nonlinear dynamics influence manipulator performance. Building on this foundation, his 2024 work on spatial multi-link rigid-flexible manipulators with moving platforms extends these investigations into more complex, real-world configurations, reflecting his continued commitment to evolving this research domain. Kumar has also made contributions to autonomous robotics and environmental perception, notably developing a 3D indoor mapping framework using the Microsoft Kinect V2.0 RGB-D sensor, demonstrating versatility across both theoretical mechanics and applied sensing technologies. His earlier exploration of redundant robot manipulators using neural networks further highlights his interest in intelligent control strategies. Across his body of work, Kumar bridges classical mechanical modeling with modern computational approaches, offering valuable insights for researchers working at the intersection of robotics, dynamics, and autonomous systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
29
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Modal characterization with nonlinear behaviors of a two-link flexible manipulator
17 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Indian Institute of Technology Jodhpur, Pandit Deendayal Petroleum University, Jaypee Institute of Information Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago