CodingCatMountain
I am just a normal graduate who study Robotics. My research interest includes: Robot Learning and Control.
Guangdong University of Technology
CodingCatMountain's Stars
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
tandpfun/skill-icons
Showcase your skills on your Github readme or resumé with ease ✨
pengsida/learning_research
本人的科研经验
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
Skythinker616/foc-wheel-legged-robot
Open source materials for a novel structured legged robot, including mechanical design, electronic design, algorithm simulation, and software development. | 一个新型结构的轮腿机器人开源资料,包含机械设计、电子设计、算法仿真、软件开发等材料
hardmaru/estool
Evolution Strategies Tool
dongjing3309/gtsam-examples
GTSAM Tutorial Examples
utiasASRL/steam
The Simultaneous Trajectory Estimation and Mapping (STEAM) Engine.
navigator8972/pylqr
An implementation of iLQR for trajectory synthesis and control
kamperh/bayes_gmm
Bayesian Gaussian mixture models in Python.
gtrll/multi-robot-rmpflow
Multi-Robot RMPflow
borglab/GTDynamics
Full kinodynamics constraints for arbitrary robot configurations with factor graphs.
utiasASRL/lgmath
Lie group math library.
UWRobotLearning/rmp2
Code for R:SS 2021 paper RMP2: A Structured Composable Policy Class for Robot Learning.
mrsd16teamd/matlab_iLQR
Implementations of the iLQR algorithm
rpl-cmu/leo
ALRhub/MP_PyTorch
Movement Primitives in PyTorch
scottrice/pysteam
Python API for accessing local Steam information
ros-industrial/stomp
Stochastic Trajectory Optimization for Motion Planning (STOMP)
DuaneNielsen/cma-es
Demo of Covariance Matrix Adaptation, Evolutionary Strategy
hzyu17/VIMP
Motion Planning via Gaussian Variational Inference
utiasASRL/pysteam
Python implementation of STEAM (Simultaneous Trajectory Estimation and Mapping).
GeorgeBoutselis/DDP-LieGroups
Differential Dynamic Programming on Lie groups
sageshoyu/kdl_rmpflow
implementation of rmpflow for arms
utiasASRL/pylgmath
Python library for handling geometry in state estimation problems in robotics. It is used to store, manipulate, and apply three-dimensional rotations and transformations and their associated uncertainties.
ALRhub/ProDMP_RAL
IEEE Robot Automation Letter
GT-RAIL/clamp
Combined Learning from Demonstration and Motion Planning
NoemieJaquier/sequencing-blending
This repository contains code examples for the paper "Learning to sequence and blend robotics skills via differentiable optimization".
jenkspt/CMA-ES
A short implementation and demonstration of the Covariance Matrix Adaptation algorithm in numpy
florianseidler/TrajectoryOptimisation
goal of the project: python library to optimize the trajectory of a robotic actuator regarding torque