Shunmugasundar Esakkiappan

Monash University

Papers

3

Total Citations

27

H-Index

2

About

Shunmugasundar Esakkiappan is a researcher specializing in robotics, with a particular focus on simultaneous localization and mapping (SLAM) and medical robotics. His work addresses critical challenges in autonomous navigation and minimally invasive surgery. Esakkiappan’s major contributions include advancing Hector SLAM technology, where he developed an orientation correction method to mitigate drift errors at the starting stage and integrated ICP trajectory matching to enhance system robustness against unexpected robot movements or rapid environmental changes. These innovations have practical implications for improving the reliability of autonomous mapping in complex environments. His most cited paper, "Hector SLAM with ICP Trajectory Matching" (2020), has garnered 18 citations, reflecting its impact on the SLAM research community. Additionally, Esakkiappan has explored cost-effective actuation units for concentric tube robots used in minimally invasive surgery, demonstrating his versatility in bridging theoretical development with practical, low-cost solutions. His work is notable for addressing real-world failure modes in robotic systems, making his research valuable for students and engineers seeking to enhance robot autonomy and surgical precision.

Research Focus

Key Achievements

2
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Hector SLAM with ICP Trajectory Matching
18 citations · 2020
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Monash University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago