DIY Assembly Complete Kit for TortoiseBot
₹ 22,999 (incl. GST)
TortoiseBot is an extremely learner-friendly and cost-efficient ROS-based Open-Sourced mobile robot that is capable of doing Manual as well as Autonomous Mapping, Navigation, Simulation and a lot more thanks to the creativity and support of the Open-Source ROS Community!
Description
Simplify Learning ROS Affordably & Efficiently
TortoiseBot is an extremely learner-friendly and cost-efficient ROS-based Open-Sourced mobile robot that is capable of doing Manual as well as Autonomous Mapping, Navigation, Simulation and a lot more thanks to the creativity and support of the Open-Source ROS Community!
Multi-purpose started kit for ROS ( Robot Operating System )
TortoiseBot is out-of-the-box the simplest, and most cost-efficient ROS-based robot that has Mapping and Navigation capabilities. The core of TortoiseBot is a Raspberry Pi 4 running Raspberry Pi OS with pre-installed ROS. So the user can simply assemble the robot with included assembly guide in just 30 minutes and start working on the robot immediately without any additional setup. The robot also has support for Gazebo Physics Simulator where you can simulate your robot algorithms without actually risking the robot and also visualize the sensor data in RViz. TortoiseBot is based on a simple principle of – “ Everything that you need, Nothing that you don’t! “ Adhering to this motto, we have tried to minimize the components and eliminate expensive and difficult-to-use elements like encoders & IMU, instead replaced it with our cutting-edge & reliable software that uses relational reasoning to give precise odometry values thus reducing the cost by almost 40%. TortoiseBot is modular with various other sensors that work with Raspberry Pi which makes it the best pick for research in Robotics & AI.
Sample Applications
- Teleoperation and LIVE Camera View
- Included with the TortoiseBot software is the code to control the robot through your computer’s keyboard or any joystick along with LIVE camera feed
- Perception and Mapping
- TortoiseBot comes equipped with all required sensors for localizing itself in an unknown environment and also make a map of the surroundings aka SLAM
- Exploration and Navigation
- TortoiseBot can Autonomously Navigate in known & unknown environments using Exploration and Navigation Stack offered by ROS
- Computer Vision & AI Applications
- Using an onboard Camera, the computer vision and AI applications you can build with TortoiseBot is limitless with a streaming speed of upto 60fps at 720p
Additional information
| Weight | 1.5 kg |
|---|---|
| Dimensions | 30 × 25 × 10 cm |
3 reviews for DIY Assembly Complete Kit for TortoiseBot
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Sahasrajit A. –
I bought this kit in August 2021. This is a great product and the best part is its Open-source. This is very helpful for robotics enthusiasts who want to learn and practice ROS not just in Software using sims but even through Hardware. I use this all the time to test out something I have done in Sim and see if it behave the same as in sim. Moreover, this product can be expanded with modules so as to increase its capabilities. Finally, for people worried about if it is difficult to build I am here to say that is not the case at all, I am usually a bull in china shop kind of person when it comes to mechanically building things and even I found this easy to build and maintain.
Gokulraj –
Tortoise bot is an amazing product for beginners in ROS to learn, experiment and explore. The software stack developed for the bot is just amazing and works like magic. We are using it to teach college students about ROS and Image processing and it improved the efficiency of teaching exponentially compared to teaching with just simulation. I will definitely recommend it to everyone who is interested in Robotics. And the tortoise bot community is an additional plus point.
Manish –
Tortoise bot is best low cost Ros supported robot today. Easy to fix and play with well developed software stack provided by rigbetel labs. This product opens the door for robotics. A physical robot helps more than a simulation.