Robotik
Fields interested in design and control of machines that can detect, decide and move in the physical world.
Robotics is an interdisciplinary engineering field that is interested in design, build and control of machinery that can detect physical world, decide on the basis of these perceptions, and physically interact with the environment. The main cycle of a robot is usually composed of three stages: detection (to collect data about the environment with vehicles such as cameras, lidar, touch sensors through the speakers), planning/scaling (to determine an action by processing this data) and action (to perform physical movement through engines and actuators). Traditional robotics rely on preprogrammed exact motion arrays, the modern robotic supported by artificial intelligence strengthens this three stages with learning-based methods.
Integration of deep learning and consolidation learning to the robot is able to work flexibly in unstructured environments where robots have never seen in advance; thanks to computerized vision, robot objects can recognize and comprehend, thanks to consolidation learning, you can learn complex motor skills through trial-burning. Boston Dynamics’s human and four-foot robots, autonomous storage robots, and "body AI" (embodieded AI) researches are current examples that indicate that the robot is increasingly deeply nested with artificial intelligence.
Integration of deep learning and consolidation learning to the robot is able to work flexibly in unstructured environments where robots have never seen in advance; thanks to computerized vision, robot objects can recognize and comprehend, thanks to consolidation learning, you can learn complex motor skills through trial-burning. Boston Dynamics’s human and four-foot robots, autonomous storage robots, and "body AI" (embodieded AI) researches are current examples that indicate that the robot is increasingly deeply nested with artificial intelligence.