cassie
There are 0 repository under cassie topic.
UMich-BipedLab / extrinsic_lidar_camera_calibration
This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.
Language:MATLAB 351This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
Language:C++ 227- LearningHumanoidWalking
rohanpsingh / LearningHumanoidWalking
Training a humanoid robot for locomotion using Reinforcement Learning
Language:Python 155 Repo containing the urdf and frost based models of Cassie
Language:MATLAB 82This package provides a CLF-based reactive planning system, described in paper: Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain. The reactive planning system consists of a 5-Hz planning thread to guide a robot to a distant goal and a 300-Hz Control-Lyapunov-Function-based (CLF-based) reactive thread to cope with robot deviations. The planning system allowed Cassie Blue to autonomously traverse sinusoidally varying terrain. More experiments are still being conducted and this repo and the paper will be updated accordingly.
Language:C++ 49osudrl / cassie-trajectory-editor
MuJoCo trajectory editor for walking robots
Language:C 28This work proposes an anytime iterative system to concurrently solve the multi-objective path planning problem and determine the visiting order of destinations. The paper has been uploaded to arXiv at https://arxiv.org/abs/2205.14853
Language:C++ 26- Language:Python 16
lia-univali / cassie
An open-source web tool for automatic shoreline mapping and analysis using satellite imagery.
Language:JavaScript 13This package introduces the concept of optimizing target shape to remove pose ambiguity for LiDAR point clouds. Both the simulation and the experimental results confirm that by using the optimal shape and the global solver, we achieve centimeter error in translation and a few degrees in rotation even when a partially illuminated target is placed 30 meters away!
Language:MATLAB 8This package introduces the concept of optimizing target shape to remove pose ambiguity for LiDAR point clouds. Both the simulation and the experimental results confirm that by using the optimal shape and the global solver, we achieve centimeter error in translation and a few degrees in rotation even when a partially illuminated target is placed 30 meters away!
Language:MATLAB 1- Language:Python
