Emerging Technologies
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Robotics: Perception

Course Cover

4.5

(4)

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Course Features

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Duration

33 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

33 hours

Course Description

How do robots perceive the world? And how can they manipulate it so that they can navigate and perform manipulation tasks? This module will examine how images and videos captured by robot cameras are transformed into representations such as features and optical flow. These 2D representations enable us to extract 3D information such as where the camera is located and which direction it moves. This will help you to see how 3D posing and navigation are possible.

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Highlights

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Pedagogy

Top 30 Percentile

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Hands on training

Top 30 Percentile

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Parameters

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Pedagogy

Acquire all major Robotics Process Automation skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Robotics Process Automation, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Hands on training

Inclusion of the capstone project and hands-on training offers a dual focus. This enriches its value, making it an ideal choice for those seeking comprehensive learning and real-world application in Robotics Process Automation.

Course Overview

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

You will gain knowledge on Computer Vision

You will gain knowledge on Estimation

You will gain knowledge on Random Sample Consensus (Ransac)

You will gain knowledge on Geometry

Course Instructors

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Kostas Daniilidis

School of Engineering and Applied Science

Kostas' research interests are in computer vision and robotic perception. His research addresses challenges in the perception of motion and space, as applied in navigation and manipulation. Kostas' r...
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Jianbo Shi

School of Engineering and Applied Science

Jianbo's group is developing vision algorithms for both human and image recognition. Their ultimate goal is to develop computation algorithms to understand human behavior and interaction with objects...

Course Reviews

Average Rating Based on 4 reviews

4.4

100%

Course Cover