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Context-Aware Adaptive Pesticide Spraying for Agricultural Robots under Changing Weather and Terrain Using Vision-Language Models
Cong-Thanh Vu, Yen-Chen Liu
Precision pesticide spraying is essential for optimizing application efficiency and ensuring uniform chemical distribution. Spraying performance is influenced by multiple factors,…
Towards Adaptive Interaction Strategies for Human Companion Robot via Deep Reinforcement Learning
Cong-Thanh Vu, Yen-Chen Liu
In the field of Human-Robot Interaction (HRI), achieving flexibility in human-accompanying within real-world environments holds great potential for various applications but also po…
Gimbal-Based Human Tracking for Companion Robots Using Continual Learning
Cong-Thanh Vu, Ching-Chieh Liu, Yen-Chen Liu
Reliable and continuous human tracking is essential for natural human-robot interaction, particularly for companion robots. However, many existing approaches rely on wearable tags…
Multimodal-Language-Model-Driven Interaction and Companionship for Service Robots in Elderly-Care Facilities
Ching-Chieh Liu, Cong-Thanh Vu, Yen-Chen Liu
Service robots are increasingly deployed in elderly-care facilities to alleviate caregiver workload and enhance the quality of daily care. However, most existing studies focus on i…
Learning Diverse Humanoid Tasks via Synthetic Video Scenarios without Real World Data
Yun-Hao Tsai, Cong-Thanh Vu, Yen-Chen Liu
The human-like morphology of humanoid robots grants them exceptional potential for agile and versatile motor capabilities, but it also introduces significant challenges in acquirin…
Adaptive Companionship for Group-Following Robots: Handling Dynamically Changing Group Formations
Cong-Thanh Vu, Yen-Chen Liu
Accompanying a group of humans is an essential aspect of developing human-like social cognition in robots. However, human groups typically do not follow fixed formations, which pos…