Robot Assistant

Robot assistants are being developed to augment human capabilities across diverse domains, from surgery and education to chemistry and manufacturing. Current research emphasizes multimodal interaction, integrating speech recognition, computer vision (like YOLOv8), and large language models (LLMs such as GPT-3.5-turbo and GPT-4) to enable natural communication and task completion. These advancements aim to improve efficiency, reduce human workload, and enhance safety in various settings, impacting fields ranging from healthcare and education to industrial automation. Reinforcement learning is also playing a key role in enabling robots to adapt to dynamic human-robot interactions and complex environments.