Charith Munasinghe

ZHAW Zurich University of Applied Sciences

Papers

1

Total Citations

8

H-Index

1

About

Charith Munasinghe is a researcher at the forefront of safe human-robot collaboration (HRC), a critical area driving the Industry 5.0 paradigm. His work focuses on enabling intelligent, flexible collaborative robots (cobots) to work seamlessly alongside humans. Munasinghe’s most notable contribution is the creation of the COVERED dataset (CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation), published in 2022. This dataset provides a foundational resource for developing and benchmarking algorithms that allow cobots to perceive and understand their shared environment, a key step toward ensuring safe and efficient interaction. With 8 citations, this work is gaining traction as a vital tool for researchers tackling the challenges of semantic scene understanding in dynamic, human-centric industrial settings. By addressing the critical need for robust perception in HRC, Munasinghe is helping to shape a future where humans and robots work together more intuitively and safely, moving beyond traditional, isolated automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentation
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: ZHAW Zurich University of Applied Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago