Omnidirectional Walking Pattern Generation for Humanoid Robot using ZMP Analytical Method
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Updated
Dec 31, 2019 - Python
Omnidirectional Walking Pattern Generation for Humanoid Robot using ZMP Analytical Method
6脚ロボットを対象にした自由歩容計画を行うシミュレータです.
Robot agnostic rqt plugin which allows the user to create joint trajectories 📈
Hexapod simulator
Preview Control of CoM and ZMP for Bipedal Walking Stability
Six-legged walking robot developed by students at Gdańsk University of Technology. Features ROS-based simulation, remote control via Android app, and 3D-printed design.
This is the official implementation of the paper "Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression".
Sign Language Recognition using Gait Energy Image
Omnidirectional Walking Pattern Generation for Humanoid Robot using ZMP Preview Control
Control-software for Quadrupedal Robots, especially for SpotMicro
An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.
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