theroboticsclub.org
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TheRoboticsClub.org 72 Hour Self Driving Car Challenge

January 25, 2018 kangalow 1

Let’s say that you are tired of fiddling around with scale cars and the idea of being confined where your car drives. Break out of that rut with TheRoboticsClub.org during a long weekend in Brisbane, Australia! In the RobiticsClub.org 72 hour challenge you will build a full size self-driving car Read more …

RacecarJ Lower Platform FI
RACECAR/J

RACECAR/J Platform Preparation

January 24, 2018 kangalow 6

RACECAR/J Platform Preparation is the second step of building RACECAR/J. In an earlier article we prepared the chassis, here we will be working on preparing the platform decks and adding some electronics. Looky here: Background One way to think about RACECAR/J is that it consists of two parts. The first Read more …

RACECAR/J Chassis
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RACECAR/J Chassis Preparation

November 30, 2017 kangalow 15

This is the first step of building a RACECAR/J. Here we prepare the chassis by removing parts we do not use, and upgrading the springs and bumper. Looky here: Background RACECAR/J is derived from the open source MIT RACECAR, an “open-source powerful platform for robotics research and education”. The first Read more …

Ariel Anders Visual Servoing
RACECAR/J

Mobile Robot Navigation – Visual Servoing – Ariel Anders

September 26, 2017 kangalow 0

At a recent MIT/Lincoln Labs 2017 Beaver Works Summer Institute Seminar, Ariel Anders gave a lecture on visual servoing control systems with regards to mobile robot navigation. Looky here: Background There are many parts to mobile robot navigation. As this information is used directly in programming the MIT RACECAR, a Read more …

Sertac Karaman
Robotics

Low-Level Robot Vision – Sertac Karaman

September 21, 2017 kangalow 0

At a recent MIT/Lincoln Labs 2017 Beaver Works Summer Institute Seminar, Sertac Karaman gave a lecture on low-level robot vision. Looky here: Background With the advent of the digital camera, vision sensors have become ubiquitous. Combining vision sensors with GPU computing elements enables a breakthrough in camera based perception for Read more …

Ariel Anders Lecture
RACECAR/J

Mobile Robot Navigation – Route Planning – Ariel Anders

September 6, 2017 kangalow 0

At a recent MIT/Lincoln Labs 2017 Beaver Works Summer Institute Seminar, Ariel Anders gave a lecture on route planning with regards to mobile robot navigation. Looky here: Background There are many parts to mobile robot navigation. As this information is used directly in programming the MIT RACECAR, a NVIDIA Jetson Read more …

Mike Boulet @ BWSI Seminar
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Mobile Robot Navigation – Localization – Mike Boulet

August 30, 2017 kangalow 1

At a recent MIT/Lincoln Labs 2017 Beaver Works Summer Institute Seminar, Mike Boulet gave a lecture on localization with regards to mobile robot navigation. Looky here: Background There are many parts to mobile robot navigation. As this information is used directly in programming the MIT RACECAR, a NVIDIA Jetson based Read more …

RACECAR/J Chassis
RACECAR/J

RACECAR/J Build – Chassis

June 26, 2017 kangalow 16

This article marks the start of the prototype RACECAR/J build. RACECAR/J is an 1/10 scale autonomous vehicle. First up, preparing the chassis. Looky here: Background This is the third hardware prototype of the RACECAR on JetsonHacks. The prototype base is the MIT RACECAR, an “open-source powerful platform for robotics research Read more …

Scan Sweep Scanner
Jetson RACECAR

Scanse Sweep LIDAR Software Install

June 6, 2017 kangalow 12

UPDATE: The company Scanse.io which produced the Scanse Sweep Scanner has ceased operations as of May, 2018. This article remains here for reference purposes. The newly introduced Scanse Sweep Scanner is an inexpensive 2D LIDAR that is easy to interface with a NVIDIA Jetson Development Kit. Looky here: Background LIDAR Read more …

RACECAR/J Thumb
Jetson RACECAR

What is the difference between RACECAR projects?

June 4, 2017 kangalow 10

Reader Fikri asked: Now, I’ve been a while trying to understand RACECAR/J and other similar project out there. Please correct me if my understanding is way off. So, there are 2 different approaches to build this project, first nvidia’s way (end to end learning) like what Tobias did and second Read more …