Robotics: Mobility
date_range Débute le 13 mars 2017
event_note Se termine le 10 avril 2017
list 4 séquences
assignment Niveau : Introductif
label Physique, Chimie et Biologie
chat_bubble_outline Langue : Anglais
card_giftcard 9.6 points
3 /5
Avis de la communauté
51 avis

Les infos clés

credit_card Formation gratuite
timer 16 heures de cours

En résumé

How can robots use their motors and sensors to move around in an unstructured environment? You will understand how to design robot bodies and behaviors that recruit limbs and more general appendages to apply physical forces that confer reliable mobility in a complex and dynamic world. We develop an approach to composing simple dynamical abstractions that partially automate the generation of complicated sensorimotor programs. Specific topics that will be covered include: mobility in animals and robots, kinematics and dynamics of legged machines, and design of dynamical behavior via energy landscapes.

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Le programme

  • Week 1 - Introduction: Motivation and Background
    We start with a general consideration of animals, the exemplar of mobility in nature. This leads us to adopt the stance of bioinspiration rather than biomimicry, i.e., extracting principles rather than appearances and applying them systematically to our machi...
  • Week 2 - Behavioral (Templates) & Physical (Bodies)
    We’ll start with behavioral components that take the form of what we call “templates:” very simple mechanisms whose motions are fundamental to the more complex limbed strategies employed by animal and robot locomotors. We’ll focus on the “compass gait” (the mo...
  • Week 3 - Anchors: Embodied Behaviors
    Now we’ll put physical links and joints together and consider the geometry and the physics required to understand their coordinated motion. We’ll learn about the geometry of degrees of freedom. We’ll then go back to Newton and learn a compact way to write down...
  • Week 4 - Composition (Programming Work)
    We now introduce the concept of dynamical composition, reviewing two types: a composition in time that we term “sequential”; and composition in space that we call “parallel.” We’ll put a bit more focus into that last concept, parallel composition and review w...

Les intervenants

  • Daniel E. Koditschek, Professor of Electrical and Systems Engineering
    School of Engineering and Applied Science

Le concepteur

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.

La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

Avis de la communauté
3 /5 Moyenne
Le meilleur avis

the problem of mobility can not be well covered in short time, but this course gives a good introduction to problems applications and reference materials

le 28 janvier 2018
Quelle note donnez-vous à cette ressource ?
le 30 janvier 2018

COuld have been better if it recommended some prerequisitives. It was a really challenging one especially it requiring background knowledge. Course could provide relevant background study references that are related to the questions asked rather than asking them to forage through the resources section and try to read everything. While it definitely gives a better understanding if one reads the resources. I read one or two papers and they helped me understand the material a little better. What I demand though is provision of relevant resources. Then I would give it 5 stars.

le 28 janvier 2018

the problem of mobility can not be well covered in short time, but this course gives a good introduction to problems applications and reference materials

le 22 janvier 2018

The course is very interesting and full of valuable information, but the evaluations were made to fail. It requires a lot of additional research and the apparent intention of not passing the different quizzes becomes almost frustrating. It is full of tricky questions.

le 14 décembre 2017

I have to take this course because I would like to go for the capstone. This course is so poorly-designed. Don't expect to learn much from it.

le 10 décembre 2017

By this course , being the student and begineer in the study of Robotics.this course gave me the extent knowledge of Robotics:mobility.thankyou professor and coursera team providing such good stuffs online to the people like us.

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