Cognitive Robotics

Cognitive robotics aims to build robots capable of complex reasoning, learning, and interaction with humans and their environments. Current research emphasizes developing robust cognitive architectures, often employing modular designs based on transformer networks or reinforcement learning, to handle diverse tasks and adapt to unpredictable situations, including human-robot collaboration and manipulation of deformable objects. These advancements are driving progress in areas like robot-assisted surgery, autism therapy, and home assistance, while also providing valuable tools for education and research in AI and robotics. The field's impact extends to both improving robotic capabilities and furthering our understanding of cognition itself.