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44 search results found

Modeling Examples ⭐ 487

Gurobi modeling examples

Motion_planning ⭐ 265

Robot path planning, mapping and exploration algorithms

在人工智能、机器视觉、高精度导航定位和多传感器融合等技术的助推下，众多行业迎来了前所未有的发展机遇，

Imagination Augmented Agents ⭐ 159

Building Agents with Imagination: pytorch step-by-step implementation

Autonomous_mobile_robot ⭐ 93

Implementation of an autonomous mobile robot with semantic segmentation, object detection, motion planning and control systems

Retro_star ⭐ 78

Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search

Olympus: a benchmarking framework for noisy optimization and experiment planning

Coveragepathplanning ⭐ 64

Code pertaining to coverage path planning and area division.

Language Planner ⭐ 53

Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

Adaptive_swarm ⭐ 46

Multiple robots layered path planning algorithm implemented as a ROS node to control a swarm of nano quadrotors, Crazyflies 2.X, with real-time obstacle avoidance.

Quetzal is a modeling library designed for transport planning and traffic forecasts

Rearrangement Planning ⭐ 31

Vision code for "Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning", RA-L 2020.

Learnedsamplingdistributions ⭐ 29

Sparse Graphical Memory for Robust Planning

Python For Transportation Modeling ⭐ 18

How to use Python for a variety of transportation modeling tasks

Fcnd Term1 P2 3d Motion Planning ⭐ 16

Udacity Flying Car Nanodegree - Term 1 - Project 2 - 3D Motion Planning

Motion Planning Based On Model Predictive Control And Bezier Spline ⭐ 14

A quasi Hybrid A* method is introduced for motion planning of autonomous driving car, based on MPC and Bezier spline

Neural Time Series Analysis

Sampling Based Path Planning Library ⭐ 13

PRM, RRT, RRT*, Informed-RRT* Python impelmentations for 2-D with a simulator. Easily Extendable to N-Dimensions, but would require a N-Dimension collision detection library.

Pythonrobotics ⭐ 13

Introductory Algorithms, Tutorials and Basic python codes for getting started in Robotics

Learning_biases ⭐ 12

Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.

Roboticscv ⭐ 11

Knowledge and projects on robotics, most of them combine the application of computer vision. Common tools in this repository include Matlab and ROS.

2048_planning ⭐ 10

2048 Agent using Monte Carlo method, can reach 4096

Udacity Aind ⭐ 10

A repository of multiple projects and labs done in the Udacity Artificial Intelligence Nanodegree (aind).

Julia Implementation of the POMCP algorithm for solving POMDPs

Course material for UP206A: Introduction to GIS and Spatial Data Science

Rl_workshop_guatemala ⭐ 8

Control-software for Quadrupedal Robots, especially for SpotMicro

Budget Planning ⭐ 7

Automate Budget Planning with Linear Programming

Path Planning And Reinforcement Learning ⭐ 7

We will create a map from the reality and put a diferential robot in there with the aim to use an path planning algorithm through reinforcement learning (PPO)

Informative Path Planning ⭐ 7

Informative path planning repository

Official TensorFlow code for the paper "DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation".

Mcmp Isrr15 ⭐ 6

Monte Carlo Motion Planning: ISRR 2015 Code

TRAPP framework for Traffic Reconfiguration via Adaptive Participatory Planning

Uav_ugv_perception_planning ⭐ 6

Repository for testing code for UAV_UGV co-operative perception and planning

Auto_vehicle_simulator ⭐ 5

Text_seminar ⭐ 5

Text analysis: planning to publication

Implementation of MCTS algorithms in Munos (2014)

Predict the shirt size by images

Space Object RADar SIMulator

21w Up206a ⭐ 5

A graduate level course at UCLA's Urban Planning Department, geared to inspire students with ideas that advances urban research through digital innovation.

The goal of this work is to use Markov Decision Processes (MDPs) to analyze planning policies for epidemic control of SARS-CoV-2 or similar diseases.

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