Poom Konghuayrob
Papers
6
Total Citations
28
H-Index
2
About
Poom Konghuayrob is a robotics researcher whose work centers on energy efficiency, autonomous navigation, and intelligent control for industrial and rescue robots. His most cited paper, “Remote Sensing to Minimize Energy Consumption of Six-axis Robot Arm Using Particle Swarm Optimization and Artificial Neural Network to Control Changes in Real Time” (14 citations), introduces a novel method that optimizes velocity and acceleration along a given trajectory, significantly reducing power use in lean manufacturing settings. He extends this energy focus to mobile robots, as seen in his 2023 work predicting power consumption of cleanroom differential drive robots using recurrent neural networks. In localization, Konghuayrob has advanced sensor fusion by combining LiDAR with RTK-GNSS/INS for outdoor mobile robots and integrating iBeacon with LiDAR to correct AMCL errors in hard disk drive clean rooms. His design contributions include evaluating polyamide robot arm structures via finite element analysis. Notably, his 2023 paper on an autonomous rescue hexapod robot with AI-driven human detection and tracking addresses critical challenges in disaster response. With a growing citation record and applications spanning manufacturing, cleanroom logistics, and search-and-rescue, Konghuayrob’s work demonstrates a clear commitment to making robots both smarter and more sustainable.
Research Focus
Key Achievements
Top Papers
- 1
- 2Localization for Outdoor Mobile Robot Using LiDAR and RTK-GNSS/INS7 citations · 2024
- 3Autonomous Rescue Hexapod Robot with AI Human Detection and Tracking2 citations · 2023
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