intelligent-soft-robots Goto Github PK
Name: Intelligent Soft Robots
Type: Organization
Name: Intelligent Soft Robots
Type: Organization
High-level target shooting algorithm for trajectory generation of the custom designed table tennis ball launcher AIMY.
Ball launcher control (Python), server (Python) and clients (Python or C++) that enable remote control of our ball launcher.
Custom designed table tennis ball launcher hardware share.
Implements the dynamics of table tennis balls including collision detection and contact dynamics in cpp. The code is wrapped with pybind11 and provided as Python library.
Extends tennicam with predictive capabilities on basis of ball_models
cmake macro enforcing the bypass of cache for macro calling it
for creating binary installation tar balls from a colcon compiled workspace
Common GitHub workflows used on multiple repositories
Collections of generic serializable items aiming a ease the creation of context classes, i.e. observations of an experiment. Seralialization makes its possible to use these context classes along o80.
dummy repo with one failing unit test (gtest) , useful for debug of continuous integration
a wrapper over pyqtgraph to make dynamic plotting (even more) easy
Command line utility for distributing GitHub workflow configurations to multiple repositories.
refactor of learning_table_tennis_from_scratch
creating a debian install file from a colcon/ament install folder
meta python package installing various python packages (to be used with pip)
catkinized json
ament export of a mujoco interface (mujoco expected unzipped in /opt/mpi-is)
synchronization of c++ processes via a custom python API
Example on how to wrap o80 over a (dummy) robot
o80 interface over the PAM (pneumatic artificial muscle) robot
interface between roboball2d and o80
deprecated
configuration files for all pam and pam mujoco related packages
python demos related to the pneumatic artificial muscle robot
main documentation of the PAM robot and related code
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