WiSe 17/18: Robotics
Daniel Göhring
Information for students
Übungen siehe 19304702.
Additional information / Pre-requisites
Students interested in robotics with application to autonomous vehicles. Voraussetzungen: As a prerequisite, student should have basic knowledge of maths, in particular linear algebra and a bit of optimization. Students will work with a real model car in the robotics lab.
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Content
This class will give an introduction to robotics. It will be structured into the following parts:
- Generating motion and and dynamic control: This chapter will cover coordinate frames, non-holonomic constraints, Ackermann-drive (in analogy to street cars), PID.
- Planning: Planning around obstacles, path finding, Dijkstra, A*, configuration space obstacles, RRTs, lattice planners, gradient methods, potential fields, splines.
- Localization and mapping: state estimation problem, Bayesian filter, Odometry, Particle & Kalman filter, Extended and Unscented Kalman-Filter, simultaneous localization and mapping (SLAM).
- Vision and perception: SIFT, HOG-features, Deformable parts models, hough transform, lane detection, 3d-point clouds, RANSAC .
After these lectures, students will be able to design basic algorithms for motion, control and state estimation for robotics.
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Literatur:
Bruno Siciliano, Oussama Khatib: Handbook of Robotics (partially online at Googlebooks) Bruno Siciliano, Lorenzo Sciavicco, Luigi Villani: Robotics: modelling, planning and control Steven LaValle: Planning Algorithms Sebastian Thrun, Wolfram Burgard, Dieter Fox: Probabilistic Robotics
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Additional appointments
Mon, 2018-02-12 08:00 - 10:00Regular appointments
Content
This class will give an introduction to robotics. It will be structured into the following parts: Generating motion and and dynamic control: This chapter will cover coordinate ... read more