Jiqizhixin("The heart of the machine") is China's leading cutting-edge technology media and industry service platform, focusing on artificial intelligence, robotics and neurocognitive science, and insisting on providing high-quality content and various industrial services for practitioners.
机器之心是国内领先的前沿科技媒体和产业服务平台,关注人工智能、机器人和神经认知科学,坚持为从业者提供高质量内容和多项产业服务。
Gibson’s underlying database of spaces includes 572 full buildings composed of 1447 floors covering a total area of 211k m2s. The database is collected from real indoor spaces using 3D scanning and reconstruction. For each space, we provide: the 3D reconstruction, RGB images, depth, surface normal, and for a fraction of the spaces, semantic object annotations. In this page you can see various visualizations for each space, including 3D dissections, exploration using a randomly controlled husky agent, and standard point-to-point navigation episodes
A collection of .BLEND and .FBX files to accompany the Robotic Design with Blender tutorial series on YouTube:(Part 1) https://youtu.be/aRBHMRa6pIA(Part 2) https://youtu.be/TKc-g84j2x8(Part 3) https://youtu.be/Cuo_ytkvCpo(Part
KSL is a sparse math library written in the C programming language that is targeted to real-time kinematics, dynamics, contact detection, robotics and 3D visualization applications.
Nybble makes programming and robotics fun to learn and understand, all in on | Check out 'Nybble - World's Cutest Open Source Robotic Kitten' on Indiegogo.
Researchers at Siemens Corporate Technology in Berkeley, CA, have developed a set of gears to test different robot learning approaches to assembly. If you want to benchmark your robot learning algorithms and apply them to a challenging problem, 3D print the gears and share your results with us!
- C and C++
- Architecture, Design Patterns and Refactoring
- Skills & Tools
- Agile Software Development and Scrum
- Operating Systems and Networking
- Embedded Systems and Computer Architecture
- Version Control
- Robotics
- Mechanical Engineering
The Fundamentals of Robot Mechanics contains a thorough treatment of essential concepts in robot kinematics, statics, and dynamics. Beginning with the elementary notions of points and vectors in 3-dimensional space, this thoughtful textbook conveys...
- Modern C++ for Computer Vision
- 3D Coordinate Systems
- Photogrammetry I
- Mobile Sensing and Robotics I
- Photogrammetry II
- Mobile Sensing and Robotics II
- Techniques for Self-Driving Cars
- Master Project
It is a research group under the Stanford Vision & Learning Lab that focuses on developing methods and mechanisms for generalizable robot perception and control.
We work on challenging open problems at the intersection of computer vision, machine learning, and robotics. We develop algorithms and systems that unify in reinforcement learning, control theoretic modeling, and 2D/3D visual scene understanding to teach robots to perceive and to interact with the physical world.
The goal of IFRR is to promote the development of robotics as a scientific field establishing the theoretical foundations and technology basis for its ever expanding applications, with emphasis on its potential role to benefit humans. The Foundation was formally established in 1986 following the success of a series of pioneering symposia that were conceived to provide the emerging community with a forum entirely devoted to all areas of robotics research.The School of Robotics Science is a joint initiative promoted by the IFRR and the IEEE-RAS with the aim of providing a selected number of robotics students and young researchers with an educational opportunity of the highest scientific level, which shall represent a fundamental milestone in their careers and will enable them to feed and grow their potential to become the top robotics scientists world-wide.
The Robotics and Autonomous Systems Group at CSIRO Data 61 develops foundational and applied research for a broad range of domains including; agriculture, advanced manufacturing, mining, biodiversity and biosecurity, environmental research and monitoring, cultural heritage and online learning.
J. Solà, J. Deray, und D. Atchuthan. (2018)cite arxiv:1812.01537Comment: 17 pages, 12 figures, 7 boxed examples, 193 numbered equations. V2 add chapter with a application examples. V3 fix biblio error and remove the reference to a not-yet-published library in C++. V4 add again the reference to the C++ library "manif", which is made available with this version 4. V5 fix formulas (163) and (179). V6, V7 fix typos. V8 fix sign in eq 149.