Object and Pattern Recognition,
Scene Understanding, Image Processing
and Activity Analysis
Computer Vision is the most important source of information for the human brain, and the "entrance hall" of AI. My research started here. As a vast and complicated discipline, many problems in computer vision are far from being solved.
Processing physical and
social “common sense”
Intellectual dark matter already belongs to the combination of perception and cognition. From there we enter the mind, the inner world of humans and animals. The inner world reflects the external world, similarly impacted and distorted by the motive of tasks.
Voice recognition and
synthesis, text and dialogue
analysis and generation
The human language center is unique. Interestingly, it is in the vicinity of the action planning area. Why do we talk? The origin of language is to convey a message from a person’s mind to the mind of another person, which includes the ambient knowledge discussed in the previous section, the intention of the plan, summarized as the figure of the three triangular expressions. The hope is to form a consensus through dialogue, to form common task planning, that is, we act in concert. Therefore, the basis of language is that people are attempting to cooperate.
Interaction, Confrontation and
Cooperation of Multi-Agent Systems,
Game Theoretic Equilibria and Social Norms
To communicate with people, a robot must understand human values. Philosophy and economics have a basic assumption that a rational person’s behavior and decision-making are driven by the maximization of his own interests. If you rule out the possibility of deceit, observing a rational person’s behavior and choices, allows you to reverse engineer his reasoning and learning, and estimate his values.
Motor control, design,
Robotics is the platform of large tasks. Not only does it dispatch tasks such as visual recognition, language communication, and cognitive reasoning, but also expends a lot of effort to change the environment. People and robots need to perform tasks, tasks that can be broken down into a series of actions, and each action is meant to change the fluent of their environment.
Statistical modeling and
The other five areas are “problem areas” at various levels, called Domains. We attempted to put these questions in one framework, to think and seek a unified expression and algorithm. Machine learning is designed to research and solve the “methods”, studying how to fit, to acquire the necessary knowledge.
Through 6 disciplines