Papers

2

Total Citations

13

H-Index

2

About

Joni Dhar is a researcher at the forefront of intelligent manufacturing, specializing in multi-robot coordination and Wire Arc Additive Manufacturing (WAAM). Their work directly tackles the critical challenge of geometric imprecision in metal 3D printing, particularly for low-melting-point metals like aluminum. Dhar’s major contributions include pioneering the "Multi-Robot Scan-n-Print" framework, which integrates real-time scanning with deposition to enhance part accuracy, and developing an open-source software architecture that replaces proprietary robot and weld control systems. This open-source framework is a significant achievement, democratizing access to advanced WAAM technology and enabling broader research and industrial adoption. With their most-cited papers from 2025 already garnering 7 and 6 citations respectively, Dhar’s impact is rapidly growing within the additive manufacturing community. By breaking down barriers to multi-robot WAAM, Joni Dhar is not only advancing the state of the art in metal 3D printing but also laying the groundwork for more flexible, precise, and accessible manufacturing solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Robot Scan-n-Print for Wire Arc Additive Manufacturing
7 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Troy University, Rensselaer Polytechnic Institute

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago