Robot Assistance

Robot assistance research focuses on developing robots capable of effectively supporting humans in various tasks, from daily living activities to complex industrial processes. Current research emphasizes improving robot perception and decision-making through multimodal data fusion, deep learning (including neural networks and LSTMs), and reinforcement learning algorithms, often incorporating human-in-the-loop approaches for adaptive assistance. This field is significant for its potential to enhance human capabilities, improve efficiency in various sectors, and provide crucial support for individuals with disabilities or limited mobility, particularly in healthcare and elder care.