• views: 117
• date: 18 January 2025
• posted by: AD-TEAM

Content:

Part 01-Module 01-Lesson 01_Welcome
Part 01-Module 01-Lesson 02_What is a Robot
Part 01-Module 01-Lesson 03_Search and Sample Return
Part 01-Module 01-Lesson 04_Career Support Overview
Part 01-Module 02-Lesson 01_Introduction to ROS
Part 01-Module 02-Lesson 02_Packages & Catkin Workspaces
Part 01-Module 02-Lesson 03_Write ROS Nodes
Part 01-Module 03-Lesson 01_GitHub
Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots
Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers
Part 01-Module 05-Lesson 01_Intro to Kinematics
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick & Place
Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction & RobotEthics
Part 01-Module 06-Lesson 02_Product Pitch
Part 01-Module 07-Lesson 01_Perception Overview
Part 01-Module 07-Lesson 02_Introduction to 3D Perception
Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation
Part 01-Module 07-Lesson 04_Clustering for Segmentation
Part 01-Module 07-Lesson 05_Object Recognition
Part 01-Module 07-Lesson 06_3D Perception Project
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics
Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping
Part 01-Module 10-Lesson 01_Introduction to Controls
Part 01-Module 10-Lesson 02_Quadrotor Control using PID
Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics
Part 01-Module 11-Lesson 02_Networking in Robotics
Part 01-Module 12-Lesson 01_Intro to Neural Networks
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning
Part 01-Module 12-Lesson 03_Deep Neural Networks
Part 01-Module 12-Lesson 04_Convolutional Neural Networks
Part 01-Module 12-Lesson 05_Fully Convolutional Networks
Part 01-Module 12-Lesson 06_Lab Semantic Segmentation
Part 01-Module 12-Lesson 07_Project Follow Me
Part 01-Module 12-Lesson 08_Term 1 Outro
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics
Part 02-Module 01-Lesson 01_Introduction to Term 2
Part 02-Module 01-Lesson 02_The Jetson TX2
Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware
Part 02-Module 01-Lesson 04_Lab Hardware Hello World
Part 02-Module 01-Lesson 05_Robotics Sensor Options
Part 02-Module 02-Lesson 01_Inference Development
Part 02-Module 02-Lesson 02_Inference Applications in Robotics
Part 02-Module 02-Lesson 03_Project Robotic Inference
Part 02-Module 03-Lesson 01_Introduction to Localization
Part 02-Module 03-Lesson 02_Kalman Filters
Part 02-Module 03-Lesson 03_Lab Kalman Filters
Part 02-Module 03-Lesson 04_Monte Carlo Localization
Part 02-Module 03-Lesson 05_Build MCL in C++
Part 02-Module 03-Lesson 06_Project Where Am I
Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM
Part 02-Module 04-Lesson 02_Occupancy Grid Mapping
Part 02-Module 04-Lesson 03_Grid-based FastSLAM
Part 02-Module 04-Lesson 04_GraphSLAM
Part 02-Module 04-Lesson 05_Project Map My World Robot
Part 02-Module 05-Lesson 01_Intro to RL for Robotics
Part 02-Module 05-Lesson 02_RL Basics
Part 02-Module 05-Lesson 03_Q-Learning Lab
Part 02-Module 05-Lesson 04_Deep RL
Part 02-Module 05-Lesson 05_DQN Lab
Part 02-Module 05-Lesson 06_Deep RL Manipulator
Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation
Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation
Part 02-Module 06-Lesson 02_Classic Path Planning
Part 02-Module 06-Lesson 03_Lab Path Planning
Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning
Part 02-Module 06-Lesson 05_Research in Navigation
Part 02-Module 06-Lesson 06_Project Home Service Robot
Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile
Part 02-Module 08-Lesson 01_Completing the Program
Part 03-Module 01-Lesson 01_Project Introduction
Part 03-Module 01-Lesson 02_Introduction to ROS
Part 03-Module 01-Lesson 03_Packages & Catkin Workspaces
Part 03-Module 01-Lesson 04_Write ROS Nodes
Part 03-Module 01-Lesson 05_Search
Part 03-Module 01-Lesson 06_Project Details

also You can watch my other last: Programming-posts

Screenshots

Exclusive eLearning Videos ← add to bookmarks




   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.