Having taken Tedrake's underactuated robotics class which uses Drake's python bindings, it is an amazing collection of tools and examples of algorithms. Really great for learning.
I would say is very focused on research and quick prototyping, however.
MIT Driverless experimented with using Drake in 2018-19 race car, but we found that just implementing everything in eigen was more flexible, removed a dependency, and more transparent for tinkering.
"Model-based design and verification for robotics."
>Drake (“dragon” in Middle English) is a C++ toolbox started by the Robot Locomotion Group at the MIT Computer Science and Artificial Intelligence Lab (CSAIL).
Cmake project that depends on a specific distribution to be built _from source_? I know, it's 2020, we have Docker and things, but but but that's not how it works folks!
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[ 4.2 ms ] story [ 31.0 ms ] threadI would say is very focused on research and quick prototyping, however.
MIT Driverless experimented with using Drake in 2018-19 race car, but we found that just implementing everything in eigen was more flexible, removed a dependency, and more transparent for tinkering.
To be we absolutely need static types and super high level stuff to both:
- keep the code closer to it's purpose
(e.g. do linear algebra and proof of why this program does the stats you want it to together)
- be super architecture agnostic
(With lambda generalized to arbitrary categorizes we can just elaborate to Vect and fuse functional pipelines with matrix multiplication).
(https://ncatlab.org/nlab/show/Vect)
>Drake (“dragon” in Middle English) is a C++ toolbox started by the Robot Locomotion Group at the MIT Computer Science and Artificial Intelligence Lab (CSAIL).