javier hidalgo carrió dfki bremen & universität bremen robotics innovation center ...

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Javier Hidalgo Carrió

DFKI Bremen & Universität Bremen

Robotics Innovation Center

www.dfki.de/robotics

javier.hidalgo_carrio@dfki.de

Navigation and Slip Kinematics for HighPerformance Motion Models

2

Outline

Motivation

State of the Art

Kinematics Modeling Approach

Results

Conclusion and Questions

3

Motivation

The common 3D-planar assumption does not capture the complexity of the system

4

Motivation

To find a common solution to easily extend to other systems.Transformation vs Geometric approach

5

State of the Art

6

State of the Art

P. Muir and C. Neuman (1986): Kinematics Modeling of Wheeled Mobile Robots

7

State of the Art

M. Tarokh and G. J. McDermott (2005): Kinematics Modeling and Analysis of Articulated rovers

P. Muir and C. Neuman (1986): Kinematics Modeling of Wheeled Mobile Robots

8

State of the Art

M.Görner and G. Hirzinger (2010): Analysis and Evaluation of [..] Eight-legged Walking robot

B. Gassmann (2005): Localization of Walking Robots M. Tarokh and G. J. McDermott (2005): Kinematics Modeling and Analysis of

Articulated rovers P. Muir and C. Neuman (1986): Kinematics Modeling of Wheeled Mobile Robots

9

Kinematics Modeling

ATTITUDE

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Kinematics Modeling

ATTITUDE

3D slip vector at the contact point with the ground

11

Kinematics Modeling

ATTITUDE

Ground contact angle which defines the direction of motion of the wheel.

12

Kinematics Modeling

ATTITUDEJ3j J1j

J2j J0j

13

Kinematics Modeling

Least-Squares optimization to minimize the error of an overdetermined system.

It is important to define the single contribution of each wheels to the final movement (wheel-weighting matrix C).

14

Results

Space Hall test at DFKI using Vicon System as ground truth

ASGUARD

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Results

The localization results are much better than the conventional odometry

16

Results

The wheel-weighting matrix defines the center of rotation

17

Results

Slip vector analysis of each single wheel-contact point

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Conclusions

3. Definition of a wheel-weighting matrix to define each wheel contribution

1. Full Kinematics model of a leg-wheel hybrid system (including slip vector)

2. Improvements on motion models (dead-reckoning)

4. Better selection of the contact point

5. Field testing results are next to come

Thank you very much for your attention!!

DFKI Bremen & Universität Bremen

Robotics Innovation Center

Director: Prof. Dr. Frank Kirchner

www.dfki.de/robotics

robotics@dfki.de

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