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With technological advancements, social robots are becoming daily companions and caretakers. This research aims to develop a social robot system with autonomous cognitive and behavioral abilities, including spatial, social and memory cognition, enabling natural human-robot interactions. Outcomes include AI robots that understand environments and provide services, an empathetic social cognition module, and memory assistance features developed in collaboration with enterprises.
Future Tech | Information ＆ CommunicationsSolving traffic congestion has significant impacts on society, the environment, and the economy. This system combines LSTM prediction models with AI technology, utilizing traffic data and various features to effectively forecast traffic conditions for the next 30 minutes. This capability not only enhances traffic efficiency but also promotes economic growth, improves environmental quality, enhances social welfare, and contributes to the sustainable development of cities.
Future Tech | Information ＆ CommunicationsThis system combines GPT-4 and dialogue iteration technology to efficiently clarify fake news. The public version offers concise explanations for social media information, while the expert version refines explanations through multiple dialogue iterations. This technology reduces time and labor costs, enhances user understanding, and is suitable for clarifying political, health, and social news. It has broad application potential and great prospects.
Future Tech | Information ＆ CommunicationsOur team develops AI robot dogs incorporates various mechatronics designs and AI approaches, which is 93 cm in size and weighs 40 kg. It is equipped with an AI edge computing computer, a high-precision 3D LiDAR, and various other sensors. Utilizing LiDAR mapping and autonomous navigation, it＇s features posture and body balance control, omnidirectional walking capabilities, terrain adaptability, obstacle crossing. For fixed-point inspections and real-time message transmission via Line Bot.
Future Tech | Information ＆ CommunicationsThis research developed an intelligent building exterior tile inspection robot, designed based on the movement patterns of geckos and inchworms. The front and rear tapping mechanisms are inspired by the pecking motion of woodpeckers. The robot is equipped with AI vision recognition and AI acoustic recognition, using a tiny AI camera and tapping device to detect defects. TinyML and CNN technologies are employed for data processing, and the system can transmit inspection results in real-time. This robot is the first in Taiwan to apply tiny machine learning to building exterior inspection.
Future Tech | Information ＆ CommunicationsComing soon!
