Papers

9

Total Citations

38

H-Index

4

About

Chanin Joochim is a robotics and automation researcher whose work spans mobile robot navigation, prosthetics, and industrial automation systems. With a career bridging foundational sensor-based robotics and applied mechatronics, Joochim has made meaningful contributions to both academic and practical engineering domains. His early research focused on autonomous mobile robot navigation, particularly leveraging 3D sensing technologies. His 2008 studies on motion estimation and 3D mapping using PMD (Photonic Mixer Device) cameras — each garnering 5 citations — helped advance SLAM (Simultaneous Localization and Mapping) methodologies, combining PMD and stereo camera data to improve robot displacement accuracy in real-world environments. Joochim later turned toward assistive and industrial robotics. His most-cited work, "Artificial Human Arm Controlled by Muscle Electromyography" (2018, 8 citations), demonstrates a commitment to improving quality of life for people with upper limb disabilities through EMG-driven prosthetic control. His subsequent contributions — including a pick-and-place delta robot (2020) and an automatic sorting machine using digital image processing (2021) — reflect a sustained focus on practical industrial automation. Collectively accumulating over 38 citations, Joochim's portfolio represents a versatile research trajectory connecting intelligent sensing, rehabilitation engineering, and manufacturing automation.

Research Focus

Key Achievements

4
H-Index
9
Papers
38
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Human Arm Controlled by Muscle Electromyography (EMG)
8 citations · 2018
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: King Mongkut's University of Technology North Bangkok, University of Siegen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago