SH221BY's repositories
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
multi_C3BF
Python simulations to validate our Behavioral-based Circular Formation Control for robot swarms.
Hierarchical-LTL-STAP
Source code for paper "Simultaneous Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications"
ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
FTNCBF
Fault-Tolerant Neural CBF
Composite_CBF
Learn a neural network control barrier function subject to safety constraints composited by logical operations.
LTL_MRTA
Source code for TRO paper "Temporal Logic Task Allocation in Heterogeneous Multi-Robot Systems"
stl_npc
[ICRA2024] A differentiable robot learning framework for task specifications and controller synthesis.
C-MPC
A repo to house the code for the submission "Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and Control Lyapunov Functions"
Gaussian-Process-Based-Control-Barrier_Functions
Directed Study on Gaussian Process based Control Barrier Functions
MPC-D-CBF
The code will soon be open source.
DifferentiableOptimizationCBF
Project Website:
Safe-Reinforcement-Learning-Baselines
The repository is for safe reinforcement learning baselines.
CBFs-for-complex-safety-specs
Matlab codes for safety-critical control based on a single CBF constructed from a complex combination of safety specifications. They contain codes for numerical simulation of three reach-avoid problems with a single obstacle, multiple obstacles and a road network.
HOCBF
Safety-critical control for autonomous systems
neural_clbf
Toolkit for learning controllers based on robust control Lyapunov barrier functions
AMR22_FP8_Model_free_CBF
Final project of the Autonomous and Mobile Robotics course of Giuseppe Oriolo.
NMPC-DCLF-DCBF
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
Formation-control-for-a-multi-agent-system-with-disturbance-comenstation
This repository represents an implementation of suggested distributed control algorithm for formation control of multi-agent system with distrubance compensation.
stlpy
A python library for control from Signal Temporal Logic (STL) specifications
Paper-Writing-Tips
MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips
multi_robot_task_allocation
Optimization-based controllers for multi-robot task allocation.
safety-critical-control-with-input-delay-and-disturbance
Matlab code for simulating safety-critical longitudinal control for a connected automated truck governed by dynamics with input delay and input disturbance. The controller is based on predictor feedback and tunable input-to-state safe control barrier functions. Main simulation file: truck.m, ODE solver: odeab4.m. See details in our paper below.
paper-simulation
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
MPC-CBF
"Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv.org/abs/2007.11718