Omnidirectional Walking Pattern Generation for Humanoid Robot using ZMP Preview Control
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Updated
Dec 31, 2019 - Python
Omnidirectional Walking Pattern Generation for Humanoid Robot using ZMP Preview Control
Omnidirectional Walking Pattern Generation for Humanoid Robot using ZMP Analytical Method
Robot agnostic rqt plugin which allows the user to create joint trajectories 📈
This is the official implementation of the paper "Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression".
Control-software for Quadrupedal Robots, especially for SpotMicro
Sign Language Recognition using Gait Energy Image
Hexapod simulator
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.
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.
Preview Control of CoM and ZMP for Bipedal Walking Stability
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.
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