Robotics Spring 2019 (Under Construction! Last updated: 4-3 2018) |
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Assistant: ...
Period: February- May 2019 Place: Room xxx Time: xxx
ECTS: 6
Description: During the last decade we have seen an explosion of all kinds of robots designed for tasks that previously were deemed too challenging. Robots have evolved from robotic arms and karts that could execute repetitive or simple tasks such as painting, welding and vacuum cleaning to autonomous cars, drones and humanoid helpers that execute their tasks in much less controlled and even natural settings. For this modern robots require sophisticated adaptive capabilities. During this course we will have a thorough look at all important aspects of the robot-architecture used in modern and state of the art robots. The use of various actuators and sensors will be studied. Algorithms for low level tasks such as movement, dead reckoning, obstacle-detection, and balancing will be presented. Intermediate level tasks such as mapping, obstacle recognition and avoidance, and more advanced modes of reckoning, navigation and object manipulation will be studied. Finally, high level tasks such as human-robot-interaction and adaptive behavior in natural environments will be studied and proto-typed using state of the art sensor analysis, computer vision and audio recognition techniques. Grading: The final grade is based on:
Schedule:
Note: Slides will be made available after the lectures.
Assignments:
Recommended reading: Conferences and journals on Robotics.
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