IIIT Allahabad B. Tech. (IT) 5th Semester Artificial Intelligence Lab Assignments + HackerRank Artificial Intelligence Track
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Updated
Aug 15, 2018 - Python
IIIT Allahabad B. Tech. (IT) 5th Semester Artificial Intelligence Lab Assignments + HackerRank Artificial Intelligence Track
Implementation and visualization (some demos) of search and optimization algorithms.
Implementation for A-star and BFS Algorithms to solve a NxN grid sliding puzzle problem.
🎮 An artificial intelligence game to demonstrate the A* pathfinding. The enemy will try to get close to the agent and make it stuck between walls.(用于演示A*寻路算法的人工智能游戏,敌人会追踪宝藏并尝试将其困在围墙之间。)
Application software in Python 3 to evaluate the factor of safety against sliding of slopes made of Blocks-In-Matrix materials.
A Python implementation and visualization of various pathfinding and graph search algorithms.
Several different implementations of the A-Star search algorithm, including a Bidirectional version - used for finding the shortest path in a graph.
Contains 5th Semester AIML Lab programs
This repository implements various Search Based (Heuristic and Incremental) and Sampling Based (Multi Query and Single Query) motion planning algorithms using ROS and turtlebot
A fine-tuned visual implementation of Informed and Uninformed Search Algorithms such as Breadth First Search, Depth First Search, Uniform Cost Search, A* Search, Greedy First Search
Implement a navigational robot that performs global planning using A* and local planning using Vector Field Histogram (VFH) to help navigate the robot from start to end for a given map.
Ayudar a vendedores ambulantes en un parque para llegar a sus clientes, recorriendo la menor distancia con el Algoritmo A*.
Romania Problem with A* Algorithm - AI Class Homework
Implementation of the A* / Dijkstra search algorithms, a Probabilistic Roadmap (PRM) Planner with path smoothing, and a statistical benchmarking suite
technological mapping method that allows robots and other autonomous vehicles to build a map , localize itself on that map at the same time and choose the best route avoiding obstacles.
This repository contains solution for SLAM lectures taught by Claus Brenner on YouTube.
探寻路径规划算法,主要是 A* 算法以及其 JPS 优化版本,考虑到了对角障碍物的阻塞和绕路情况,Python 实现。 // Python implementation of the A* (A-star) and Jump Point Search algorithms, handling cases with diagonal obstacles.
N-Queens GUI solver using A* (A-Star) and Genetic Algorithm.
8 Puzzle solver using uninformed and informed search algorithms as DFS, BFS and A*.
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