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Marco's profile - overview

overview network karma followed questions activity

75

karma

Registered User
member since	2011-08-02 02:56:27 -0500
last seen	2012-03-15 01:02:49 -0500
todays unused votes	50 votes left

10 Questions

1k

views

3

answers

1

vote

2011-09-12 19:10:12 -0500 Marco

How to make keyboard_teleop in TurtleBot more "fluid"

6k

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2

answers

1

vote

2011-08-18 21:24:46 -0500 Marco

Reading float from Float32 data from kinect pointcloud2

707

views

1

answer

1

vote

2011-09-23 10:00:17 -0500 mmwise

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Turtlebot odometry/imu calibration fails with Kinect mounted upside down

893

views

no

answers

1

vote

2011-09-22 23:48:27 -0500 Marco

Using calibration.yaml file for Kinect in Turtlebot pkg [closed]

889

views

1

answer

no

votes

2011-08-10 10:14:05 -0500 mmwise

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Calibrating turtlebot odometry without gyro/imu

631

views

1

answer

no

votes

2011-09-14 20:51:57 -0500 AHornung

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alternative gyro for Turtlebot

347

views

no

answers

no

votes

2011-09-20 22:47:58 -0500 Marco

error launching turtlebot dashboard: python/wx [closed]

668

views

1

answer

no

votes

2011-08-18 06:18:27 -0500 tfoote

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Datarange Float32 xyz-values in pointcloud2 for kinect

1k

views

1

answer

no

votes

2011-08-23 02:11:02 -0500 Nick Armstrong-Crews

How to decrease (openni_)kinect cpu usage in turtlebot pkg

10

views

no

answers

no

votes

2011-08-17 20:37:31 -0500 Marco

segmentation fault in reading PointCloud2 data from rosbag [deleted]

3 Answers

Reading float from Float32 data from kinect pointcloud2

displaying point cloud in rviz from .bag files, error

Only depth info from kinect

4 Votes

4

0

28 Tags

turtlebot× 19
gyro× 9
calibration× 7
pointcloud2× 6
openni_kinect× 6
Kinect× 6
pointcloud× 4
create_robot× 4
throttle× 4
imu× 4
framerate× 4
irobot_create× 4
teleop× 4
keyboard_teleop× 4
rosbag× 3
data× 3
float× 3
segmentation× 2
API× 2
hardware× 1
tf× 1
rviz× 1
openni_camera× 1
odometry× 1
bag× 1
turtlebot_dashboard× 1
Python× 1
wxWidgets× 1

12 Badges

● Teacher × 2 ● Student × 2 ● Popular Question × 18
● Commentator × 1 ● Self-Learner × 2 ● Taxonomist × 1
● Famous Question × 18 ● Nice Answer × 2 ● Supporter × 2
● Scholar × 2 ● Editor × 2 ● Notable Question × 18

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