Collection of centroidal control for legged robots
- Compiler supporting C++17
- Tested on
Ubuntu 20.04 / ROS NoeticandUbuntu 18.04 / ROS Melodic
This package depends on
This package also depends on the following packages. However, manual installation is unnecessary when this package is installed using wstool as described in Installation procedure.
- (Skip if ROS is already installed.) Install ROS. See here for details.
$ export ROS_DISTRO=melodic
$ sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'
$ wget http://packages.ros.org/ros.key -O - | sudo apt-key add -
$ sudo apt-get update
$ sudo apt-get install ros-${ROS_DISTRO}-ros-base python-catkin-tools python-rosdep- (Skip if mc_rtc is already installed.) Install mc_rtc. See here for details.
$ curl -1sLf 'https://dl.cloudsmith.io/public/mc-rtc/stable/setup.deb.sh' | sudo -E bash
$ sudo apt-get install libmc-rtc-dev mc-rtc-utils ros-${ROS_DISTRO}-mc-rtc-plugin ros-${ROS_DISTRO}-mc-rtc-rviz-panel libeigen-qld-dev- Setup catkin workspace.
$ mkdir -p ~/ros/ws_ccc/src
$ cd ~/ros/ws_ccc
$ wstool init src
$ wstool set -t src isri-aist/QpSolverCollection [email protected]:isri-aist/QpSolverCollection.git --git -y
$ wstool set -t src isri-aist/ForceControlCollection [email protected]:isri-aist/ForceControlCollection.git --git -y
$ wstool set -t src isri-aist/NMPC [email protected]:isri-aist/NMPC.git --git -y
$ wstool set -t src isri-aist/CentroidalControlCollection [email protected]:isri-aist/CentroidalControlCollection.git --git -y
$ wstool update -t src- Install dependent packages.
$ source /opt/ros/${ROS_DISTRO}/setup.bash
$ rosdep install -y -r --from-paths src --ignore-src- Build a package.
$ catkin build centroidal_control_collection -DCMAKE_BUILD_TYPE=RelWithDebInfo --catkin-make-args all testsMake sure that it is built with --catkin-make-args tests option.
The CoM and ZMP trajectories are planned according to the ZMP reference trajectory and the ZMP region boundaries as inputs, which are determined from a given footstep sequence (i.e., the position and timing of the foot landings). The CoM velocity is jumped by emulating a disturbance during motion.
- Shuuji Kajita, et al. Biped walking pattern generation by using preview control of zero-moment point. ICRA, 2003.
$ rosrun centroidal_control_collection TestPreviewControlZmp
$ rosrun centroidal_control_collection plotTestZmpBasedMethodResults.py --method PreviewControlZmp
- S Feng, et al. Optimization‐based full body control for the darpa robotics challenge. Journal of field robotics, 2015.
$ rosrun centroidal_control_collection TestDdpZmp
$ rosrun centroidal_control_collection plotTestZmpBasedMethodResults.py --method DdpZmp
- J Englsberger, et al. Three-dimensional bipedal walking control using divergent component of motion. IROS, 2013.
$ rosrun centroidal_control_collection TestDcmTracking
$ rosrun centroidal_control_collection plotTestZmpBasedMethodResults.py --method DcmTracking
- T Sugihara, et al. Foot-guided agile control of a biped robot through ZMP manipulation. IROS, 2017.
- Y Kojio, et al. Unified balance control for biped robots including modification of footsteps with angular momentum and falling detection based on capturability. IROS, 2019.
$ rosrun centroidal_control_collection TestFootGuidedControl
$ rosrun centroidal_control_collection plotTestZmpBasedMethodResults.py --method FootGuidedControl
- PB Wieber. Trajectory Free Linear Model Predictive Control for Stable Walking in the Presence of Strong Perturbations. Humanoids, 2006.
$ rosrun centroidal_control_collection TestLinearMpcZmp
$ rosrun centroidal_control_collection plotTestZmpBasedMethodResults.py --method LinearMpcZmp
- N Scianca, et al. Intrinsically Stable MPC for Humanoid Gait Generation. Humanoids, 2016.
$ rosrun centroidal_control_collection TestIntrinsicallyStableMpc
$ rosrun centroidal_control_collection plotTestZmpBasedMethodResults.py --method IntrinsicallyStableMpc
- J Urata, et al. Online Decision of Foot Placement using Singular LQ Preview Regulation. Humanoids, 2011.
$ rosrun centroidal_control_collection TestSingularPreviewControlZmp
$ rosrun centroidal_control_collection plotTestZmpBasedMethodResults.py --method SingularPreviewControlZmp
$ roscd centroidal_control_collection
$ catkin bt --no-deps --catkin-make-args run_tests
$ rosrun centroidal_control_collection plotTestZmpBasedMethodResults.py --method All --plot-comp-timeYou will get a plot like this one that shows all the methods in one sheet.
Centroidal trajectories (i.e., CoM and linear/angular momentum trajectories) are planned from the contact sequence.
$ rosrun centroidal_control_collection TestLinearMpcZ- H Audren, et al. Model preview control in multi-contact motion-application to a humanoid robot. IROS, 2014.
- 長阪憲一郎, et al. 接触拘束を考慮可能なマルチコンタクト対応スタビライザと一般化逆動力学による人型ロボットの全身制御. ロボティクスシンポジア予稿集, 2012.
$ rosrun centroidal_control_collection TestLinearMpcXY- M Murooka, et al. Centroidal trajectory generation and stabilization based on preview control for humanoid multi-contact motion. RA-Letters, 2022.
$ rosrun centroidal_control_collection TestPreviewControlCentroidal$ rosrun centroidal_control_collection TestDdpCentroidal --gtest_filter=*.PlanOnceSome of the methods implemented in this library are available in the humanoid controller BaselineWalkingController and MultiContactController.