Papers
24
Total Citations
215
H-Index
8
About
Eric Guiffo Kaigom is a distinguished robotics and cyber-physical systems researcher whose work spans intelligent automation, digital twins, simulation-based AI, and the emerging frontier of metarobotics. His most impactful contribution, "Value-Driven Robotic Digital Twins in Cyber–Physical Applications" (2020, 49 citations), established him as a leading voice in leveraging digital twin technology to unlock advanced automation capabilities in industrial settings. His early work on space robotics, including optimal motion planning with base disturbance minimization (2011, 24 citations), demonstrated his strong foundations in complex robotic systems. Kaigom pioneered the eRobotics framework — a physics-based simulation paradigm enabling safer, smarter human-robot interaction — across multiple influential studies spanning 2013 to 2016. His forward-looking vision is evident in his groundbreaking explorations of metarobotics (2023, 14 citations) and the Metaverse's industrial potential (2024, 10 citations), positioning him at the intersection of next-generation wireless communication, immersive technologies, and collective robotic intelligence. His hybrid digital twin approach for collaborative robot health monitoring further reflects his commitment to practical, safety-critical innovation. With over 165 cumulative citations, Kaigom's research continues shaping how intelligent robots are designed, simulated, and deployed across Industry 4.0 and beyond.
Research Focus
Key Achievements
Top Papers
- 1Value-Driven Robotic Digital Twins in Cyber–Physical Applications49 citations · 2020
- 2Optimal Motion Planning of a Space Robot with Base Disturbance Minimization24 citations · 2011
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- 4Physics-based simulation for manual robot guidance—An eRobotics approach15 citations · 2015
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- 6A Virtual Testbed for Human-Robot Interaction11 citations · 2013
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