This is the Linux app named MuJoCo MPC whose latest release can be downloaded as V0.1.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named MuJoCo MPC with OnWorks for free.
Sundin ang mga tagubiling ito upang patakbuhin ang app na ito:
- 1. Na-download ang application na ito sa iyong PC.
- 2. Ipasok sa aming file manager https://www.onworks.net/myfiles.php?username=XXXXX kasama ang username na gusto mo.
- 3. I-upload ang application na ito sa naturang filemanager.
- 4. Simulan ang OnWorks Linux online o Windows online emulator o MACOS online emulator mula sa website na ito.
- 5. Mula sa OnWorks Linux OS na kasisimula mo pa lang, pumunta sa aming file manager https://www.onworks.net/myfiles.php?username=XXXX gamit ang username na gusto mo.
- 6. I-download ang application, i-install ito at patakbuhin ito.
MGA SCREENSHOT:
MuJoCo MPC
DESCRIPTION:
MuJoCo MPC (MJPC) is an advanced interactive framework for real-time model predictive control (MPC) built on top of the MuJoCo physics engine, developed by Google DeepMind. It allows researchers and roboticists to design, visualize, and execute complex control tasks for simulated or real robotic systems. MJPC integrates a high-performance GUI and multiple predictive control algorithms, including iLQG, gradient descent, and Predictive Sampling — a competitive, derivative-free method that achieves robust real-time control. The system supports multi-shooting optimization, enabling precise motion planning across diverse domains like quadruped locomotion, humanoid tracking, and dexterous manipulation. In addition to its C++ core, MJPC includes an experimental Python API, enabling integration with custom models and MuJoCo tasks for flexible scripting and experimentation.
Mga tampok
- Real-time model predictive control with multiple planners (iLQG, Gradient Descent, Predictive Sampling)
- Interactive graphical user interface for visualizing tasks and trajectories
- Multi-shooting optimization framework for robust control over long horizons
- Experimental Python API for task scripting and MuJoCo integration
- Support for complex control tasks (quadruped, humanoid, manipulation, motion tracking)
- Fully open-source and extensible research prototype for robotics control
Wika ng Programming
C++, Python
Kategorya
This is an application that can also be fetched from https://sourceforge.net/projects/mujoco-mpc.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.