SigmaBan (Rhoban)
SigmaBan2019 is the kid-size humanoid soccer platform from the Rhoban team (LaBRI / University of Bordeaux), multiple-time RoboCup Humanoid League champions. This catalog entry covers the version published in Rhoban's onshape-to-robot-examples repository, where the robot is exported as a fully articulated URDF and MuJoCo model with per-link STL, .part and OpenSCAD pure-shape collision geometry. It is a Dynamixel-based design (MX-64 / MX-106 class actuators with RX64 caps), instrumented with foot load cells, a 4S LiPo, a PointGrey camera and an Intel NUC. The repo is a simulation/export reference rather than a full build kit: there is no costed bill of materials, wiring diagram, or firmware here, but the geometry and joint model are complete and directly loadable in PyBullet and MuJoCo.
SigmaBan2019 is the kid-size humanoid soccer platform from the Rhoban team (LaBRI / University of Bordeaux), multiple-time RoboCup Humanoid League champions. This catalog entry covers the version published in Rhoban's onshape-to-robot-examples repository, where the robot is exported as a fully articulated URDF and MuJoCo model with per-link STL, .part and OpenSCAD pure-shape collision geometry. It is a Dynamixel-based design (MX-64 / MX-106 class actuators with RX64 caps), instrumented with foot load cells, a 4S LiPo, a PointGrey camera and an Intel NUC. The repo is a simulation/export reference rather than a full build kit: there is no costed bill of materials, wiring diagram, or firmware here, but the geometry and joint model are complete and directly loadable in PyBullet and MuJoCo.
What you get
- A standardized, machine-readable robot schema derived from the source repo.
- A primary assembly 3D asset is available from sigmaban2019_urdf/robot.urdf.
- Source-backed bill-of-materials evidence is linked with per-part provenance where available. Prices marked estimated are not yet verified against a vendor.
- A transparent reproducibility score so buildability is a sortable, first-class property.
- Cross-links to the source repo, datasets, models, and forks.
Source
Canonical source: Rhoban/onshape-to-robot-examples. Original files stay intact and separately licensed under MIT; Motari adds a separate, adjacent metadata layer.
Reproduction references
No reproduction references are available for this catalog page yet.