Search Results for "path planning"
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Showing 80 open source projects for "path planning"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Grey Wolf Optimizer for Path Planning
Grey Wolf Optimizer (GWO) path planning/trajectory
The Grey Wolf Optimizer for Path Planning is a MATLAB-based implementation of the Grey Wolf Optimizer (GWO) algorithm designed for UAV path and trajectory planning. It allows simulation of both two-dimensional and three-dimensional UAV trajectory planning depending on parameter setups. The tool provides built-in functions to configure different UAV environments and supports multiple optimization objectives. -
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DHTMLX Gantt
GPL version of Javascript Gantt Chart
DHTMLX Gantt is a full-featured JavaScript library for creating interactive Gantt charts in web applications. It supports drag-and-drop, critical path visualization, and customizable task hierarchies, making it ideal for project planning tools. Its modular architecture and API provide extensive customization for developers. -
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All Agentic Architectures
Implementation of 17+ agentic architectures
...Each architecture is explained through runnable notebooks that illustrate how the agent works internally and how it interacts with tools, data sources, or other agents. The repository organizes the architectures into a structured learning path that progresses from simple reasoning agents to complex multi-agent systems. Examples include planning agents, tool-using agents, tree-of-thought reasoning systems, and collaborative multi-agent environments. -
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Codex with ChatGPT
ChatGPT thinks. Codex works. Use ChatGPT as the planning brain
...The bridge uses OAuth, one-time pairing, workspace boundaries, path containment, and sensitive-file blocking to limit access. Setup and updates are designed to be largely automated through a Codex skill, with Cloudflare tunneling used to expose the local read-only bridge when needed. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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GanttProject
Official GanttProject repository
GanttProject is a cross-platform desktop application for project scheduling and Gantt chart creation. It allows users to create tasks, assign resources, and track progress with ease. GanttProject is aimed at small teams and individuals who need offline project planning without the complexity or cost of enterprise tools. -
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i.am.ai
Roadmap to becoming an Artificial Intelligence Expert in 2022
...The roadmap emphasizes foundational skills like mathematics, programming, and data handling before progressing into deep learning and specialized domains. Rather than prescribing a single path, it helps users navigate the AI landscape and understand which tools fit different scenarios. Overall, the repository serves as a high-level strategic learning map for individuals planning long-term AI careers. -
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Robotics Toolbox for MATLAB
Robotics Toolbox for MATLAB
...The Toolbox uses a very general method of representing the kinematics and dynamics of serial-link manipulators as MATLAB® objects – robot objects can be created by the user for any serial-link manipulator and a number of examples are provided for well-known robots from Kinova, Universal Robotics, Rethink as well as classical robots such as the Puma 560 and the Stanford arm. The toolbox also supports mobile robots with functions for robot motion models (unicycle, bicycle), path planning algorithms (bug, distance transform, D*, PRM), kinodynamic planning (lattice, RRT), localization (EKF, particle filter), map building (EKF) and simultaneous localization and mapping (EKF), and a Simulink model a of non-holonomic vehicle. The Toolbox also includes a detailed Simulink model for a quadrotor flying robot. -
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Learn Claude Code
Bash is all you need, write a claude code with only 16 line code
Learn Claude Code is an educational repository that teaches how modern AI coding agents work by walking learners through a sequence of progressively more complex agent implementations, starting with a minimal Bash-based agent and culminating in agents with explicit planning, subagents, and skills. It emphasizes a hands-on learning path where each version (from v0 to v4) adds conceptual building blocks like the core agent loop, todo planning, task decomposition, and domain knowledge skills, illuminating the patterns behind what makes a true AI agent tick. The goal is to demystify agent architectures like Claude Code by having learners build simplified versions themselves and observe how tools, memory management, planning constraints, and context isolation contribute to reliable agent behavior. ... -
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FASTER
3D Trajectory Planner in Unknown Environments
FASTER is a research-grade 3D trajectory planner for autonomous navigation in unknown environments. It was developed for both aerial robots and ground vehicles that must move safely while new obstacles are discovered. The planner continuously builds safe and unknown-space trajectory segments rather than assuming the environment is fully mapped. Optimization is used to generate dynamically feasible paths while maintaining safety constraints. The project integrates with ROS, Gazebo, MAVROS,... -
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FastbuildAI
An open-source AI framework for developers and entrepreneurs
FastbuildAI is a pragmatic framework for building agentic applications that can plan, call tools, and produce reliable outputs without forcing you into a heavy platform. It emphasizes fast iteration: you describe tasks declaratively, wire up tools with typed schemas, and let the runtime handle planning, retries, and result aggregation. The project leans into reproducibility with run records, seed control, and structured traces so you can compare behaviors across versions and inputs. Prompt... -
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RWARE
MuA multi-agent reinforcement learning environment
robotic-warehouse is a simulation environment and framework for robotic warehouse automation, enabling research and development of AI and robotic agents to manage warehouse logistics, such as item picking and transport. -
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Laravel Learning Path
The ordered list of Laravel topics to learn, step-by-step
Laravel Roadmap Learning Path is a structured learning guide for developers who want to grow from beginner to more advanced Laravel work. It organizes Laravel topics by experience level so learners can understand what to study first and what to approach later. The roadmap includes links to official documentation, videos, articles, and courses for each topic. It is useful for self-taught developers who want direction instead of jumping randomly between tutorials. It also helps teams define... -
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IoT Technical Guide
IoT Technical Guide - Building a High-Performance IoT Platform
IoT Technical Guide is a Chinese-language learning repository for understanding how high-performance Internet of Things platforms are designed and built. It walks readers through the architecture, concepts, and engineering stack behind IoT systems instead of only listing isolated tools. The guide covers topics such as IoT market context, device models, ThingsBoard source-code learning, MQTT broker setup, CoAP services, message peak shaving, data modeling, and database selection. It is... -
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Multi-Agent path planning in Python
Python implementation of a bunch of multi-robot path-planning
multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI. -
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Quadrotor
Quadrotor control, path planning and trajectory optimization
This MATLAB-based repository contains implementations of quadrotor control systems, path planning, and trajectory optimization algorithms developed as part of an advanced robotics course at the University of Pennsylvania. It includes PD controllers, path planning via Dijkstra and A* algorithms, and trajectory optimization (minimum snap/acceleration). Run code: change trajectories in file control/runsim.m and run. See quadrotor_dynamics.pdf for dynamic modeling of the quadrotor. ... -
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Godot Steering AI Framework
A complete framework for Godot to create beautiful and complex AI
...It works in both 2D and 3D games. It supports all essential steering behaviors like flee, follow, look at, but also blended behaviors, group behaviors, avoiding neighbors, following a path, following the leader, and much more. While an AI agent's next action is based on decision-making and planning algorithms, steering behaviors dictate how it will move from one frame to the next. They use available information and calculate where to move at that moment. Joining these systems together can give sophisticated and graceful movement while also being more efficient than complex pathfinding algorithms like A. ... -
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GAAS
GAAS is an open-source program designed for fully autonomous VTOL
GAAS, or Generalized Autonomy Aviation System, is an open-source autonomy framework for drones, VTOL aircraft, and experimental flying-car research. It focuses on robust autonomous navigation using lidar rather than relying primarily on vision. The system includes mapping, HD-map localization, path planning, obstacle handling, and aircraft-control modules. Localization components include NDT and ICP approaches, with GPU acceleration available for selected algorithms. Simulation support integrates lidar, stereo cameras, PX4, Gazebo, and AirSim environments. Its modular C++ architecture allows individual autonomy components to be replaced or extended. ... -
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nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students
...The material begins with probability and statistics, then progresses through machine learning and text mining. Its final section maps major concepts and methods within natural language processing. The diagrams are intended to suggest a study path, while acknowledging that relationships between topics can be interpreted in different ways. The repository can be used as a curriculum-planning reference and accepts community corrections and alternative perspectives. -
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PythonRobotics
Python sample codes and textbook for robotics algorithms
PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks. It keeps dependencies minimal so learners can focus on the math, implementation, and behavior of each robotics method. Visual examples and simulations help users see how algorithms move, estimate, plan, and react. ... -
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Game Programmer
A Study Path for Game Programmer
Game Programmer is Milo Yip’s study path for people who want to become stronger game programmers. Rather than being a software library, it is a structured learning roadmap built around books and knowledge areas. The path covers computer science, programming languages, software development, mathematics, game programming, game engine development, computer graphics, audio, physics, animation, AI, and multiplayer networking. It helps learners understand the breadth of skills involved in serious... -
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MATLAB Robotics
MATLAB sample codes for mobile robot navigation
MATLABRobotics is a collection of robotics-related algorithms and simulation tools implemented in MATLAB. The repository brings together a wide range of robotics functionality, including path planning, control, localization, and mapping. It provides practical algorithmic implementations such as A*, RRT, Kalman filters, particle filters, and SLAM, making it a valuable resource for students, researchers, and developers learning or prototyping robotics applications. The code is written to be accessible and easy to adapt, enabling experimentation with both classical and modern robotics techniques. ... -
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MoCalc2012
GUI for MOPAC, DFTB+, GAMESS, Firefly, NWChem, ORCA and PSI4
MoCalc2012 is a simple, efficient Graphical User Interface for MOPAC, DFTB+, GAMESS(US), Firefly, NWChem, ORCA and PSI4. -
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LASA 2
LASA 2
Project Planning; Developing the Project Plan and Determining Critical Path for District 4 Warehouse Move. -
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Robotics Library
C++ framework for robot kinematics, dynamics, motion planning, control
The Robotics Library (RL) is a self-contained C++ library for rigid body kinematics and dynamics, motion planning, and control. It covers spatial vector algebra, multibody systems, hardware abstraction, path planning, collision detection, and visualization. -
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MATLAB code - robot path planning
Basic and effective approach towards robot path planning
The code presented here is very basic in approach, yet it is 70% successfully tested in avoiding obstacles during robot motion. It needs modification to make it more intelligent. Visit letsrobo.wordpress.com to learn MATLAB basics
