Papers

2

Total Citations

10

H-Index

2

About

Nandhagopal Gomathi is a researcher at the forefront of autonomous systems and 3D perception, with a focus on enabling intelligent robots to operate in unstructured and unknown environments. Her work addresses critical challenges in both navigation and environmental understanding. In her 2023 paper on adaptive path planning, Gomathi introduced a novel framework for the Unknown environment Persistent Monitoring Problem (PMP), enabling an unmanned ground vehicle (UGV) to autonomously identify and monitor the location and likelihood of unknown events. This contribution is vital for applications like environmental surveillance and disaster response. Complementing this, her work on Point Sampling Net revolutionizes 3D instance segmentation, a key technology for robotics and augmented reality. By tackling the inherent difficulties of processing point cloud data—such as occlusion and scale ambiguity—her method enhances a robot’s ability to perceive and interact with its surroundings. With each of these papers garnering 5 citations, Gomathi’s research is laying the groundwork for more capable and autonomous robotic systems, bridging the gap between navigation and perception in complex, real-world settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Adaptive path planning for unknown environment monitoring
5 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago