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.
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.
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.
- 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
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...
J. Solà, J. Deray, и 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.