À propos de ce cours

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Cours 2 sur 6 dans le
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Approx. 9 heures pour terminer
Anglais
Sous-titres : Anglais, Espagnol

Compétences que vous acquerrez

Motion PlanningAutomated Planning And SchedulingA* Search AlgorithmMatlab

Résultats de carrière des étudiants

14%

ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 6 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Approx. 9 heures pour terminer
Anglais
Sous-titres : Anglais, Espagnol

Offert par

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Université de Pennsylvanie

Programme du cours : ce que vous apprendrez dans ce cours

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Semaine
1

Semaine 1

4 heures pour terminer

Introduction and Graph-based Plan Methods

4 heures pour terminer
5 vidéos (Total 27 min), 4 lectures, 4 quiz
5 vidéos
1.2: Grassfire Algorithm6 min
1.3: Dijkstra's Algorithm4 min
1.4: A* Algorithm6 min
Getting Started with the Programming Assignments3 min
4 lectures
Computational Motion Planning Honor Code10 min
Getting Started with MATLAB10 min
Resources for Computational Motion Planning10 min
Graded MATLAB Assignments10 min
1 exercice pour s'entraîner
Graph-based Planning Methods8 min
Semaine
2

Semaine 2

2 heures pour terminer

Configuration Space

2 heures pour terminer
6 vidéos (Total 19 min)
6 vidéos
2.2: RR arm2 min
2.3: Piano Mover’s Problem3 min
2.4: Visibility Graph3 min
2.5: Trapezoidal Decomposition1 min
2.6: Collision Detection and Freespace Sampling Methods4 min
1 exercice pour s'entraîner
Configuration Space8 min
Semaine
3

Semaine 3

1 heure pour terminer

Sampling-based Planning Methods

1 heure pour terminer
3 vidéos (Total 17 min)
3 vidéos
3.2: Issues with Probabilistic Road Maps4 min
3.3: Introduction to Rapidly Exploring Random Trees6 min
1 exercice pour s'entraîner
Sampling-based Methods6 min
Semaine
4

Semaine 4

1 heure pour terminer

Artificial Potential Field Methods

1 heure pour terminer
4 vidéos (Total 19 min)
4 vidéos
4.2: Issues with Local Minima2 min
4.3: Generalizing Potential Fields2 min
4.4: Course Summary6 min
1 exercice pour s'entraîner
Artificial Potential Fields6 min

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À propos du Spécialisation Robotique

The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed to real world examples of how robots have been applied in disaster situations, how they have made advances in human health care and what their future capabilities will be. The courses build towards a capstone in which you will learn how to program a robot to perform a variety of movements such as flying and grasping objects....
Robotique

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