Papers

3

Total Citations

11

H-Index

2

About

Niken Syafitri is a robotics researcher whose work centers on autonomous robot navigation, disaster response systems, and swarm robotics. Her research addresses some of the most pressing challenges in deploying robotic systems in real-world emergency scenarios, particularly in the context of natural disaster victim search and rescue operations. Among her most notable contributions is her development of autonomous waypoint-based navigation systems for disaster environments. Her 2020 papers — including "Implementasi Automatic Waypoint untuk Return Trip pada Autonomous Robot" and "The Autonomous Disaster Victim Search Robot using the Waypoint Method" — propose innovative frameworks enabling robots to independently identify, navigate to, and return from potential victim locations, enhancing the efficiency of SAR (Search and Rescue) operations. These works have collectively garnered nearly ten citations, reflecting growing interest in intelligent disaster robotics. Her earlier work on self-organising swarm robot assembly (2018) demonstrates a broader research vision, exploring how groups of small robots can collaboratively adapt to unknown environments, including traversing unpredictable terrain gaps. Together, Syafitri's research represents a meaningful contribution toward making autonomous robotic systems more reliable, adaptive, and practically deployable in life-saving situations — an area of increasing global importance as disaster response technology continues to evolve.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Implementasi Automatic Waypoint untuk Return Trip pada Autonomous Robot dengan Titik Acuan Potensi Korban Bencana
5 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
    Self-organising assembly using swarm robots
    2 citations · 2018

Key Collaborators

Contact & Links

Available for collaboration
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