Collaborative Task

Collaborative task research focuses on enabling multiple agents, including robots and humans, to effectively work together to achieve shared goals. Current research emphasizes developing robust algorithms and architectures, such as those based on reinforcement learning, hierarchical task networks, and large language models, to handle dynamic environments, information asymmetry, and varying agent capabilities. This field is crucial for advancing human-robot collaboration, improving educational tools, and optimizing complex multi-agent systems in diverse applications like manufacturing, disaster response, and assistive technologies.