Alan-HEU's Stars
THUDM/ChatGLM2-6B
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
chatchat-space/Langchain-Chatchat
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
ultralytics/ultralytics
Ultralytics YOLO11 🚀
ai-winter/ros_motion_planning
Motion planning and Navigation of AGV/AMR：ROS planner plugin implementation of A*, JPS, D*, LPA*, D* Lite, Theta*, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, PSO, Voronoi, PID, LQR, MPC, DWA, APF, Pure Pursuit etc.
dronekit/dronekit-python
DroneKit-Python library for communicating with Drones via MAVLink.
BIMK/PlatEMO
Evolutionary multi-objective optimization platform
fukangl/SMG-multimodal-grasping
Hybrid Robotic Grasping with a Soft Multimodal Gripper and a Deep Multistage Learning Scheme
mithi/hexapod-robot-simulator
A hexapod robot simulator built from first principles
humarobot/Hector_Simulation
Simulation Software for HECTOR Humanoid Robot (ROS/MATLAB)
bridgedp/hunter_bipedal_control
An open source bipedal robot control framework, based on non-linear MPC and WBC, tailered for EC-hunter80-v01 bipedal robot.
qiayuanl/legged_control
NMPC, WBC, state estimation, and sim2real framework for legged robots based on OCS2 and ros-controls
pocketxjl/humanoid-control
A humanoid bipedal walking control repo using NMPC and WBC, and simulation with mujoco. Contact: xuejl2001@mail.ustc.edu.cn
Waqas3923/Robotic-Fish-Simulator
Navigation, Guidance and Control System design for a Biomimetic Robot, focusing on building a Simulation environment (using Matlab/Simulink) enhanced with a 3D graphic Interface.
citbrains/GankenKun_webots
Control of humanoid robots on webots, walking, deep-learning, Bayesian-optimization
pengsida/learning_research
本人的科研经验
yuhsianglin0517/SoftFishModelAIS
Simulink models for the soft fish robot (Adv. Int. Sys.)
junhengl/Cart_Pole_Simulink
Optimal Control Strategies on Cart-pole System in Simscape Multibody Simulation
Robo-EX/Quadrupedal_Simulation_using_MATLAB
Mobile Robotics has been evolving as one of the most promising domains in the field of Robotics. The ability of these robots to explore and maneuver in complex environments without human intervention attracts the attention of researchers across the globe. The mobile robots are classified into three different areas viz. wheeled robots, tracked robots, and legged robots. Robot locomotion system is an essential characteristic of mobile design, which depends not only on working space but also on technical measures like maneuverability, controllability, terrain condition, efficiency, and stability. Applications involving locomotion over rough terrains or disaster management where the robot is needed to access the remote areas within the debris demand the use of legged robots. Legged robots are further classified depending on the number of legs the robot has. Hence the types of legged robots are pogo-stick robots or one-legged robots, bi-pedal or two-legged robots, quadrupedal or four-legged robots, six-legged or hexapod robots, and eight-legged robots. Each of the types has unique applications and special locomotion mechanisms. The GAIT behavior of the quadrupedal robots is inspired by the quadruped animals like horses, dogs, etc. This project is focused on the Simulation & Control of a Quadrupedal Robot, using trajectory generation for the locomotion and describing three types of GAIT behaviors for the robot, viz. Walking, Trotting and Galloping. These are based on the speed and leg-movement patterns of the robots. These behaviors can be transitioned depending on the application and the terrain pattern. All the mechanisms are designed and simulated in MATLAB, and Simulink.
rdilare/quadruped_IK_matlab
Inverse Kinematic Simulation on matlab for four-legged robot(quadruped).
NaCl-1374/Trajectory-Optimization-for-Legged-Robots
Trajectory Optimization for Legged Robots by matlab and Casadi
leggedrobotics/vitruvio
Vitruvio is a framework for rapid leg design analysis and optimization for legged robots. The purpose of the simulation framework is to guide the early stages of legged robot design. The end effectors track an input trajectory and the necessary joint speed, torque, power and energy for the tracking is computed.
adityaravichander/auv_lbf
Lyapunov based controller design for trajectory tracking of an under-actuated autonomous underwater vehicle(AUV)
TakaHoribe/trajectory_tracking_simulation
Allen953/Baize_H1mini
ToanTech/py-apple-quadruped-robot
一个低成本大型全套四足机器人软硬件开源项目
MMehrez/MPC-and-MHE-implementation-in-MATLAB-using-Casadi
This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/
G-Alipoor/KRLS_DLA
Kernel Recursive Least Squares Dictionary Learning Algorithm
yangwangaaa/RLS-system-identification
A project on using Recursive Least Square for identification of a dynamical system
Ahmed-ElTahan/Recursive-Least-Squares-with-Exponential-Forgetting
This function is intended to estimate the parameters of a dynamic system of unknown time varying parameters using the Recursive Least Squares with Exponential Forgetting Method (RLS).