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2. Python Robotics - Wikipedia

   en.wikipedia.org/wiki/Python_Robotics

   It also contains its own simulator written completely in Python. It can directly control a variety of real robots, including the Pioneer, Khepera, AIBO, and Hemisson. The ideas from PyroBot continue to evolve as Myro, short for My Robot, in the Institute for Personal Robots in Education software, although it is no longer for Python only. Myro ...

3. Monte Carlo localization - Wikipedia

   en.wikipedia.org/wiki/Monte_Carlo_localization

   The robot is physically between the second and third doors. Sensor update: the robot detects no door. It assigns a weight to each of the particles. The particles likely to give this sensor reading receive a higher weight. Resampling: the robot generates a set of new particles, with most of them generated around the previous particles with more ...

4. Robotics simulator - Wikipedia

   en.wikipedia.org/wiki/Robotics_simulator

   This type of robotics software has a simulator that is a virtual robot, which can emulate the motion of a physical robot in a real work envelope. Some robotics simulators use a physics engine for more realistic motion generation of the robot. The use of a robotics simulator to develop a robotics control program is highly recommended regardless ...

5. Spyder (software) - Wikipedia

   en.wikipedia.org/wiki/Spyder_(software)

   It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.

6. Iterative closest point - Wikipedia

   en.wikipedia.org/wiki/Iterative_Closest_Point

   Estimate the combination of rotation and translation using a root mean square point-to-point distance metric minimization technique which will best align each source point to its match found in the previous step. This step may also involve weighting points and rejecting outliers prior to alignment.

7. Simultaneous localization and mapping - Wikipedia

   en.wikipedia.org/wiki/Simultaneous_localization...

   2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.

8. Maze-solving algorithm - Wikipedia

   en.wikipedia.org/wiki/Maze-solving_algorithm

   Robot in a wooden maze. A maze-solving algorithm is an automated method for solving a maze.The random mouse, wall follower, Pledge, and Trémaux's algorithms are designed to be used inside the maze by a traveler with no prior knowledge of the maze, whereas the dead-end filling and shortest path algorithms are designed to be used by a person or computer program that can see the whole maze at once.

9. Karel (programming language) - Wikipedia

   en.wikipedia.org/wiki/Karel_(programming_language)

   Karel is an educational programming language for beginners, created by Richard E. Pattis in his book Karel The Robot: A Gentle Introduction to the Art of Programming. Pattis used the language in his courses at Stanford University, California. The language is named after Karel Čapek, a Czech writer who introduced the word robot in his play R.U ...