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Intelligent control is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation and genetic algorithms.
This involves the mechanical aspects and programmable systems that makes it possible to control robots. Robotics can be controlled by various means including manual, wireless, semi-autonomous (a mix of fully automatic and wireless control), and fully autonomous (using artificial intelligence).
Real-time Control System (RCS) is a reference model architecture, suitable for many software-intensive, real-time computing control problem domains. It defines the types of functions needed in a real-time intelligent control system , and how these functions relate to each other.
GCDSL was started with the primary aim of performing research in the fields of Swarm robotics, Multi-Robot Systems and Cooperative Robotics with applications to tasks such as cooperative transportation, robotic formations, cooperative search/rescue, and odor source localization. in MRL, several robotic platforms have been built in-house and used for real-world-experiments in order to validate ...
Cognitive Robotics or Cognitive Technology is a subfield of robotics concerned with endowing a robot with intelligent behavior by providing it with a processing architecture that will allow it to learn and reason about how to behave in response to complex goals in a complex world.
The Multiscale Robotics Lab (MSRL) was founded in 2007, due to the inclusion of additional laboratories to the Institute of Robotics and Intelligent Systems. MSRL pursues a dynamic research program that maintains a strong robotics research focus on several emerging areas of science and technology, emphasizing in the areas of Microrobotics and ...