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cs.RO2024
Adaptive Compensation for Robotic Joint Failures Using Partially Observable Reinforcement Learning
Tan-Hanh Pham, Godwyll Aikins, Tri Truong +1
Robotic manipulators are widely used in various industries for complex and repetitive tasks. However, they remain vulnerable to unexpected hardware failures. In this study, we addr…
cs.CV2024
Enhanced Droplet Analysis Using Generative Adversarial Networks
Tan-Hanh Pham, Kim-Doang Nguyen
Precision devices play an important role in enhancing production quality and productivity in agricultural systems. Therefore, the optimization of these devices is essential in prec…