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for adding these papers in the commit log. The dynamic window approach to collision avoidance is an influential paper for mobile robots. The method is based on a robot's dynamics rather than higher-level representations of a robot and/or obstacles in an environment. The PRM and RRT algorithms are two seminal papers in robot motion planning. The problem of motion planning scales exponentially with the degrees of freedom a robot has and the degrees of freedom the obstacles in an environment have. Thus, planning with high degrees of freedom leads to many problems such as incompleteness and extremely slow speed. The PRM method was the first to propose a sampling-based stratey to deal with motion planning and created a practical methed for offline planning of robot manipulators. The RRT method modified PRM by using a tree structure rather than a graph so that non-holonomic and other constraints could be considered when planning. The Instantaneous Trajectory Generation method is relatively new, but very important. It allows for extremely fast trajectory generation for robots of high degrees of freedom (motion states generated within 1 millisecond). It has been used to implement robot sword fighting and other activities that require fast reaction-based planning. The author started a business based simply on the work and has shown the algorithm's success in many robot applications.
Papers We Love
Chapters
Here are our official chapters. Let us know if you are interested in starting one in your city!
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All of our meetups follow our Code of Conduct.
Past Presentations
View a complete list of past presentations or check out our Youtube and MixCloud (audio-only format) channels.
Search this Repo!
@polyfractal indexed this repository with Elastic Search. Find papers here !
Info
We're looking for pull requests related to papers we should add, better organization of the papers we do have, and/or links to other paper-repos we should point to.
Other Good Places to Find Papers
- Bell System Technical Journal, 1922-1983
- Best Paper Awards in Computer Science
- Google Scholar (choose a subcategory)
- Microsoft Research
- Functional Programming Books Review
- MIT's Artificial Intelligence Lab Publications
- MIT's Distributed System's Reading Group
- arXiv Paper Repository
- SciRate
- cat-v.org
- y-archive
- netlib
- Services Engineering Reading List
- Readings in Distributed Systems
- Gradual Typing Bibliography
- Security Data Science Papers
- Research Papers from Robert Harper, Carnegie Mellon University
- Lobste.rs tagged as PDF
Please check out our wiki-page for links to blogs, books, exchanges that are worth a good read.
How To Read a Paper
Reading a paper is not the same as reading a blogpost or a novel. Here are a few handy resources to help you get started.
- How to read an academic article
- Advice on reading academic papers
- How to read and understand a scientific paper
Contributing Guidelines
We have a few guidelines in place to keep the repo clean and easy to navigate. We recommend that you follow these conventions in your pull-request for a speedy merge. Note that every pull request we receive must have Two-Thumbs-Up minimum from PWL organizers/collaborators to be merged.
Follow the group's ethos
We want to help bring academic research closer to practitioners and we strive to:
- Keep the quality of papers listed high: Books, blogposts, and/or reference pdfs don't go through the same review process that academic papers do and we won't add them to this repo.
- Help people understand why a paper is important: We ask that you include with your commit an update to the directory README with a short justification of why you love this paper (for example: A paper might be interesting because it spawned a new domain, it was exceptionally well-written, or perhaps it was completely wrong about something.)
Respect content licenses
- We will only merge pull requests that contain research papers that allow digital distribution. Papers whose copyright prohibits redistribution will not be accepted; for example license 1 from the ACM digital library.
- We encourage papers that do not allow digital distribution to be added to a README in the appropriate subject's folder. For example, the distributed systems README.
Follow our naming convention
- Directory names are undercased and separated by underscores (example: artificial_intelligence)
- Paper names are undercased and separated by dashes (example: out-of-the-tar-pit.pdf). Use the full title when possible.