List of Computer Science courses with video lectures.
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Updated
Aug 2, 2021
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Robotics is a branch of engineering and computer science which works to design, build, program. and operate robots. Robots are used in many environments in which human involvement could be dangerous, including bomb defusal, space repairs, and manufacturing processes. Robots typically work either autonomously or with commands sent by human operators.
List of Computer Science courses with video lectures.
Python sample codes for robotics algorithms.
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Golang framework for robotics, drones, and the Internet of Things (IoT)
Is your feature request related to a problem? Please describe.
Move test_onboard_logging_generation outside autotest.py to all to validate logger documentation before running the full autotest suite. Ideally, on CI it should run on build_ci.sh with param_parse.py to allow to validate soon that the documentation is correct and not wait that all test pass to trigger a docu
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
A curated list of awesome self-supervised methods
JavaScript framework for robotics, drones, and the Internet of Things (IoT)
OpenVSLAM: A Versatile Visual SLAM Framework
Reading list for research topics in multimodal machine learning
The P programming language.
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
From an office hours discussion.. many people have written small gym-like interfaces around Drake. We should provide one in drake master and a tutorial showing how to use it.
Here is the relevant documentation from gym. I'm not worried about the repo name / file structure advice, but simply aim to provide the famil
I'll post it as a question as I am not quite sure that it is a bug. I have been experimenting for a while with the library in a custom environment for a school project and I am really interested in the reproducibility of the result. I have read the disclaimer in the documentation that reads that reproducible results are not guaranteed across multiple platforms or different versions of Pytorch. Ho
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones supports advanced robotics workloads such as person following and real-time autonomous navigation.
Scenarios, tutorials and demos for Autonomous Driving
High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace: https://freerobotics.tools/
Ankit Shah and I are trying to use Gen to support a project and would love the addition of a dirichlet distribution
RTAB-Map library and standalone application
As pointed out in cyberbotics/webots#2787 (comment), we should probably create a common stylesheet.qss in the resources folder that would contain the common style sheets to all platforms.
I recently ran into an issue using AMCL, for which I was given this warning message:
[ WARN] [1425574394.999492201]: No laser scan received (and thus no pose updates
have been published) for 1425574394.999407 seconds. Verify that data is being published
on the /scan topic.
However, the actual issue was a miscofiguration of the odom_frame_id :
`<param name="odom_frame_id"
The uncompensated temperature of the BMP180 is incorrectly converted to a 16-bit signed value, instead of a 32-bit signed value (long). Since the data is 16-bits wide and can therefore not be negative, the easy fix would be to do the following:
sip.js(1128): uncompensated = uint16(data[0], data[1]);
Please see page 15 of the manual of the BMP180 chip:
https://ae-bst.resource.bosch.com/media