Commit Graph

9 Commits

Author SHA1 Message Date
Sean Broderick
6d11375128 fix link to robotics (dynamic window) paper 2022-07-20 23:23:39 -04:00
Sébastien Portebois
38bda8dae5 Fix broken links (#578)
Fix broken links in operating_systems
Fix broken link in networks
Fix broken link in robotics (plus typo)
Fix Unikernel paper links
2019-10-23 09:27:25 -04:00
Hovind
60d6284a77 Update README.md
Fixed dead link to "RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor".
2016-02-25 22:01:00 +01:00
Matthew Loseke
d5eeb05b7e methed -> method 2014-10-15 11:25:45 -05:00
Sterling McLeod
78a5af023c Added descriptions for new papers to the README 2014-10-14 13:54:27 -04:00
Sterling McLeod
4e1b644a25 Removed PDF files 2014-10-14 13:50:16 -04:00
Sterling McLeod
472b646c52 Adding README.md and moving all .pdf files to links in the README.md 2014-10-14 13:47:23 -04:00
Sterling McLeod
6ff2740d8c I did not see a README in this directory so I just included my reasons
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.
2014-10-09 11:16:20 -04:00
Matt Follett
6bc1ab804c Add some robotics papers. 2014-03-07 00:39:48 -06:00