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Posts
Writing Visual SLAM from Scratch (0)
Published:
SLAM (Simultaneous Localization and Mapping) is a useful technology in robotic navigation. Visual SLAM means using information from a camera, such as a monocular camera (i.e., webcam), stereo camera (i.e., Intel realsense), to estimate the poses of the camera in the environment and to map this surrounding environment. In this series of posts, I would like to write visual SLAM code from scratch. These works refer to Xiang Gao, Tao Zhang, Yi Liu, Qinrui Yan, 14 Lectures on Visual SLAM: From Theory to Practice, Publishing House of Electronics Industry, 2017.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Localization Algorithm Design and Evaluation for an Autonomous Pollination Robot
Published in Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), 2019
As the population of natural pollinators declines, there is an increased desire to supplement their functionally artificially. To support agriculture productions when natural pollinators are not available, a methodology for realizing artificial pollination that has received considerable interest – both within the academic and commercial communities – is the utilization of autonomous robotic systems. One essential component within the complex architecture of an autonomous pollinating robot is an accurate, efficient, and robust localization and mapping subsystem (i.e., a subsystem that maps the environment and localizes the robot). This paper details the algorithmic design of a factor-graph based localization and mapping subsystem used to operate within a greenhouse environment. The presented system is validated on multiple collected data-sets both in the greenhouse and an outdoor farm.
Recommended citation: @article{yanglocalization, title={Localization Algorithm Design and Evaluation for an Autonomous Pollination Robot}, author={Yang, Chizhao and Watson, Ryan M and Gross, Jason N and others} } https://www.researchgate.net/profile/Ryan_Watson7/publication/336452555_Localization_Algorithm_Design_and_Evaluation_for_an_Autonomous_Pollination_Robot/links/5db30b5192851c577ec34dfa/Localization-Algorithm-Design-and-Evaluation-for-an-Autonomous-Pollination-Robot.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.