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Probabilistic Robotics Simulator

Project Description

Probabilistic Robotics

What Is It?

This is a collection of modules written to demonstrate ideas from the book ‘Probabilistic Robotics’ by Thrun, Burgard, and Fox. The aim is to implement Simultaneous Localization and Mapping (SLAM) for a simulated robot in a simple environment. At this time the simulated robot is capable of Monte Carlo Localization based on rangefinder data and autonomous goal-finding based on a hybrid automaton

Usage

Run robot_probha.py to watch the robot navigate to a goal using Monte Carlo Localization.

File List

locate.py mapdef.py mcl.py ogmap.py robot.py robot_prob.py robot_ha.py robot_probha.py hybrid_automaton.py navigator.py ray_trace.c ray_trace.pyx ray_trace_setup.py ray_trace.so sonar.py utils.py

TO DO

Implement SLAM. Improve packaging

Release History

Release History

This version
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0.0.5

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0.0.4

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0.0.3

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0.0.2

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0.0.1

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0.0.0

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
probrob-0.0.5.tar.gz (209.4 kB) Copy SHA256 Checksum SHA256 Source Jan 19, 2015

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