mrsp/gem2

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6
Rank 2,539,965 (Top 51 %)
Language
Python
Created about 4 years ago
Updated over 3 years ago

mrsp/gem2

mrsp

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GEM2 is a machine learning framework that combines effectively unsupervised and supervised learning on proprioceptive sensing to estimate the probability for a humanoid to be in the Left Single Support (LSS), Double Support (DS) and Right Single Support (RSS) phase.

serow

SEROW Framework for N Legged Robot Walking Estimation

imu_ekf

A ROS C++ node that fuses IMU and Odometry

whole_body_ik

Whole body Inverse Kinematics based on Pinocchio and qpmad

rgbd_odom_ros

RGBD odometry with ROS and openCV

lipm_motion

nao_walk

raisim_ros

A humanoid robot simulation ROS pkg for raisim www.raisim.com

lcd

Legged Contact Detection (LCD): A deep learning approach for Contact Estimation of Legged Robots using inertial and F/T measurements

serow_utils

Visualization for SERoW

humanoid_fsr

A ROS package that compute force/torque states and the Center of Pressure on each leg based on FSR.

gem

Gait-phase Estimation Module

lipm_control

GPURaytracing

GPU Raytracing with OpenCL

g2o_slam3d

daisy_planner

Daisy Planner - Planning Time Informed Multi-agent Interactions

raisim_examples

NAO and ATLAS simulation in raisim

image_depth_publisher_ros

A ROS Package to publish RGB and Depth Images from a dataset

odometry

klt_ros

Benchmarking Visual Features for Visual Odometry

slam_stack

A ROS stack for g2o-based slam

humanoid_cop

Compute COP from F/T