MATLAB and Simulink Robotics Arena: Walking Robot
Example files for the MATLAB and Simulink Robotics Arena videos and blog posts on walking robots.
Refer to the GitHub page for more information and links, as well as to download older releases of this submission: https://github.com/mathworks-robotics/msra-walking-robot
For any questions, email us at roboticsarena@mathworks.com.
Cita come
MathWorks Student Competitions Team (2024). MATLAB and Simulink Robotics Arena: Walking Robot (https://github.com/mathworks-robotics/msra-walking-robot), GitHub. Recuperato .
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- Control Systems > Simulink Design Optimization >
- Engineering > Electrical and Computer Engineering > Robotics >
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Ispirato da: Simscape Multibody Multiphysics Library
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ControlDesign
ControlDesign/InverseKinematics
ControlDesign/MPCHumanoid
LIPM
Libraries/MultiphysicsLib
Libraries/MultiphysicsLib/Libraries
Libraries/MultiphysicsLib/Libraries/+forcesPS
Libraries/MultiphysicsLib/Libraries/+forcesPS/+hydraulic
Libraries/MultiphysicsLib/Libraries/+forcesPS/+math
Libraries/MultiphysicsLib/Libraries/+forcesPS/+mechanical
ModelingSimulation
Optimization
ReinforcementLearning
ControlDesign
ControlDesign/MPCHumanoid
LIPM
Libraries
Libraries/MultiphysicsLib/Libraries
ModelingSimulation
ModelingSimulation/Intermediate
Optimization
ReinforcementLearning
ControlDesign/InverseKinematics
ControlDesign/MPCHumanoid
LIPM
Optimization
Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
Versione | Pubblicato | Note della release | |
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4.0 | Added new folder on the modeling basics of humanoid walking. Updated Modeling and Simulation and Optimization examples to use the robot geometry from the new content above. Updated the contact force modeling to use the built-in features in R2019b. |
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3.0.2 | updated GitHub |
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3.0.1 | Changed path to GitHub repository. |
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3.0.0.0 | Added Reinforcement Learning example, linked repository to GitHub, and restructured folders. |
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2.0.0.0 | Added leg inverse kinematics, 3D walking, and MPC trajectory examples. Fixed issues with optimization script. |
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1.0.0.0 |