Student Lounge

Sharing technical and real-life examples of how students can use MATLAB and Simulink in their everyday projects #studentsuccess

Posts 11 - 20 of 51

다음에 대한 결과: Robotics

Designing Arrow Throwing Robots by Team DJS Robocon

In today’s post, Maitreyee Mordekar would like to introduce you to Team DJS Robocon from D. J. Sanghvi College of Engineering, Mumbai, India.
Introduction
Building a robot is not a simple… 더 읽어보기 >>

Integrated Design Projects at Cambridge Computer Science

By Dr Francesco Ciriello, Education Customer Success Engineer based in Cambridge, UK. 
Between January and March of 2021, I mentored two student teams from the University of Cambridge on their Part… 더 읽어보기 >>

Robot Programming Insights from VEX-U Competition Finalists

photograph of robot

For this week’s blog post we have invited a VEX University team from the Technical University of Altamira in Mexico to share their journey towards becoming a national finalist for the VEX U Robotics… 더 읽어보기 >>

Where Are They Now? – Kailash Nagarajan, Siemens Digital Industries Software 3

Today we are talking to Kailash Nagarajan from Siemens Digital Industries Software. Kailash was very active in co-curricular activities at his time at Amrita University (2015 – 2019) and also… 더 읽어보기 >>

Creating Virtual Robot Environments in Simscape: Adding Physics, Object Interactions, and Autonomy 7

gif of clawbot

This is the second of a two-part blog on creating virtual robot environments in Simscape. If you have not read part 1 yet, we encourage you to check it out here.
In the first half, we discussed… 더 읽어보기 >>

Creating Virtual Robot Environments in Simscape: Assembling Robots and Importing from CAD 6

screenshot

For the next two blogs Jose Avendano and Matt Schafer collaborated to develop and incremental tutorial on how to use dynamic 3D simulations for robot design and programming. We will be teaching you… 더 읽어보기 >>

YOLOv2 Object Detection: Deploy Trained Neural Networks to NVIDIA Embedded GPUs 4

Inference model running on an NVIDIA Jetson

Our previous blog post, walked us through using MATLAB to label data, and design deep neural networks, as well as importing third-party pre-trained networks. We trained a YOLOv2 network to identify… 더 읽어보기 >>

YOLOv2 Object Detection: Data Labelling to Neural Networks in MATLAB 10

screenshot

Today in this blog, we will talk about the complete workflow of Object Detection using Deep Learning. You will learn the step by step approach of Data Labeling, training a YOLOv2 Neural Network, and… 더 읽어보기 >>

Walking Robot Modeling and Simulation 33

In this post, I will discuss robot modeling and simulation with Simulink®, Simscape™, and Simscape Multibody™. To put things in context, I will walk you through a walking robot example (get… 더 읽어보기 >>

Trajectory Planning for Robot Manipulators 1

NOTE: While this post will talk specifically about manipulators, many of the concepts discussed apply to other types of systems such as self-driving cars and unmanned aerial vehicles.
Trajectory… 더 읽어보기 >>

Posts 11 - 20 of 51