Kevin Limkrailassiri
Papers
1
Total Citations
6
H-Index
1
About
Kevin Limkrailassiri is a researcher at the intersection of robotics, artificial intelligence, and autonomous systems. His primary contributions lie in developing intelligent robotic solutions for challenging real-world manipulation tasks, with a strong emphasis on safety and collaboration in human-robot workspaces. His most cited work, "Coinbot: Intelligent Robotic Coin Bag Manipulation Using Artificial Brain" (2021, 6 citations), tackles the physically demanding problem of moving heavy currency bags in bank cash centers. By applying deep reinforcement learning, Limkrailassiri demonstrates how autonomous systems can be trained to perform complex, labor-intensive tasks safely and efficiently, reducing human strain and operational risk. This work exemplifies his broader focus on deploying AI-driven robotics in industrial and financial settings where precision, adaptability, and safety are paramount. His research not only advances the practical application of reinforcement learning but also paves the way for more intelligent, collaborative automation in environments traditionally reliant on manual labor.
Research Focus
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Top Papers
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