Pioneer-1 Mobile Robot Data
Donated on 1/27/1999
This dataset contains time series sensor readings of the Pioneer-1 mobile robot. The data is broken into experiences" in which the robot takes action for some period of time and experiences a control"
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Computer Science
Associated Tasks
-
Feature Type
Categorical, Real
# Instances
-
# Features
-
Dataset Information
Additional Information
The data were collected over a series of specifically designed trials. Our hope was to cover most of the types of sensory interactions that a Pioneer might be reasonably expected to encounter: things like passing by visible objects, pushing visible objects, crashing into walls, etc. Many of these interactions are repeated throughout the dataset. This data was collected to serve as the basis for work in learning and conceptual development. Our first goal was to be able to have the robot cluster these experiences by their dynamics on their own into clusters of experiences with a common outcome. Each data file contains time series data in which each row of data corresponds to a single observation of the sensor array. Included in each row are two additional variables, 'id' and 'description', which indicate the experience number that the observation belongs to, and a description of that experience, respectively. Observations within an experience are taken every 100ms. The data is stored in three text files: one file for experiences in which the Pioneer was moving in a straight line, one in which it was turning in place, and one in which it was raising or lowering its gripper. The description variable is a string of symbols. The string breaks down as follows: "u" or "o" - unobstructed or obstructed "x.xs" - activity lasted x.x seconds activity - the activity and speed, if applicable, i.e. move100 = move forward at 100mm/sec visual - objects in the visual array are listed in sequence. "cAHEAD" indicates an object visible to channel c directly AHEAD of the Pioneer. [visual.X] - visual descriptions followed by a '.' and one character indicate that something special happens with the visible object. .V means the object Vanishes from sight during the activity. .D indicates that the object is Discovered (becomes visible) during the activity. .P indicates that the object is pushed. An example: "u-3.5s-retr-100-aRIGHT.D" An unobstructed retreat (move) at -100 mm/sec for 3.5 seconds with an object being discovered in channel A. It should be noted that, particularly with respect to the visual channels, the description may not be 100% accurate. Since the visual channels respond to colors that they are trained on (visual a=red, visual b=yellow, visual c=blue), it was possible, but infrequent, for some extraneous object in the environment generated a response in visual channels that were not supposed to show activity in a particular trial. Rows are seperated by carriage returns, columns by commas.
Has Missing Values?
No
Variable Information
TRIAL-ID : categorical, the trial id of the experience that the observation belongs to DESCRIPTION : a symbolic description of the experience design TIME-SECS : a reading of the Pioneer's internal clock, in seconds BATTERY-LEVEL : a reading of battery level, in volts SONAR-0 : sonar depth reading, in mm, of the left (90) pointing sonar SONAR-1 : sonar depth reading, in mm, of a (15) pointing sonar SONAR-2 : sonar depth reading, in mm, of a (7.5) pointing sonar SONAR-3 : sonar depth reading, in mm, of a forward (0) pointing sonar SONAR-4 : sonar depth reading, in mm, of a (-7.5) pointing sonar SONAR-5 : sonar depth reading, in mm, of a (-15) pointing sonar SONAR-6 : sonar depth reading, in mm, of a right (-90) pointing sonar HEADING : heading reading, in degrees, from the robot's "true north" R-WHEEL-VEL : right wheel velocity, in mm/sec L-WHEEL-VEL : left wheel velocity, in mm/sec TRANS-VEL : translational velocity, mm/sec ROT-VEL : rotational velocity, mm/sec R-STALL : right wheel stall sensor, binary (0/1) L-STALL : left wheel stall sensor, binary (0/1) ROBOT-STATUS : robot status, 2.0 = stationary, 3.0 = moving GRIP-STATE : gripper state GRIP-FRONT-BEAM : gripper break beam, binary, 1.0 = broken GRIP-REAR-BEAM : gripper break beam, binary, 1.0 = broken GRIP-BUMPER : gripper bumper, binary, 1.0 = in contact VIS-A-AREA : area of dominant visible object for channel A, in pixels VIS-A-X : X location of object in channel A on image plane, -140 ... 140 VIS-A-Y : Y location of channel A on image plane VIS-A-H : height of object in channel A on plane, in pixels VIS-A-W : width of object in A on image plane, in pixels VIS-A-DIST : distance to object in channel A, in mm VIS-B-AREA : area of dominant visible object for channel B, in pixels VIS-B-X : X location of object in channel B on image plane, -140 ... 140 VIS-B-Y : Y location of channel B on image plane VIS-B-H : height of object in channel B on plane, in pixels VIS-B-W : width of object in B on image plane, in pixels VIS-B-DIST : distance to object in channel B, in mm VIS-C-AREA : area of dominant visible object for channel C, in pixels VIS-C-X : X location of object in channel C on image plane, -140 ... 140 VIS-C-Y : Y location of channel C on image plane VIS-C-H : height of object in C on image plane, in pixels VIS-C-W : width of object in C on image plane, in pixels VIS-C-DIST : distance to object in channel C, in mm For the visual variables, when there is no visible object, width = 0, height = 0, area = 0, distance = 10000.0, Y = 0, X = 140.0. The sonars report 5201.0 as their maximum distance.
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset pioneer_1_mobile_robot_data = fetch_ucirepo(id=135) # data (as pandas dataframes) X = pioneer_1_mobile_robot_data.data.features y = pioneer_1_mobile_robot_data.data.targets # metadata print(pioneer_1_mobile_robot_data.metadata) # variable information print(pioneer_1_mobile_robot_data.variables)
Schmill,Matthew and Cohen,Paul. (1999). Pioneer-1 Mobile Robot Data. UCI Machine Learning Repository. https://doi.org/10.24432/C5BS5T.
@misc{misc_pioneer-1_mobile_robot_data_135,
author = {Schmill,Matthew and Cohen,Paul},
title = {{Pioneer-1 Mobile Robot Data}},
year = {1999},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5BS5T}
}Creators
Matthew Schmill
Paul Cohen
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.