Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 7 ppsx
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 7 ppsx
... depth-of-field and field-of-view. How-
ever, these concepts will fail unless particular care is taken to ensure reli-
able modeling and transformation of data. The total system will have in-
creased ... corresponding point in the fol-
lowing image,
t
t
. Let the 2-D projection of the straight lines connect-
ing these pairs of points be referred to as the displacement field,
U , ass...
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 2 ppsx
... a single robot.
Individual robots typically obtain partial and noisy data from the
surrounding environment. This data is often erroneous, leading to
miscalculations and wrong behaviours, and ... the N robots by the
M sites) to a final or target configuration.
x A formation feasibility problem: given the kinematics of several
robots along with inter -robot constraints, determine...
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 5 ppsx
... time. In general these point-based landmarks are corners, van-
ishing points and points with distinct colour and contrast in the environ-
ments.
Unlike point-based landmarks, scene-based landmarks ... virtually anything in
the environment can be chosen to serve as landmarks and categorised in
three distinct categories of landmarks: point, scene and shape based land-
marks.
T...
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 14 ppsx
... orientation and position
- test - 1 position :
T 1 -7
T 1-4
T 1-9
T 1-8
T 1-3
T 1-0
T 1-1
T 1-2
T 1-1 0
T 1-1 2
T 1-1 1
Fig. 7. 7. Paths in the environment where test 1 was conducted. The training
positions ... feature matching algo-
rithm was worst at finding the best match between an image in the training
Using Visual Features for Building and Lo...
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 1 pps
... 3-5 4 0-2 6549-X
Vo l . 8. Srikanta Patnaik, Lakhmi C. Jain,
Spyros G. Tzafestas, Germano Resconi,
Amit Konar (Eds.)
Innovations in Robot Mobility and Control,
2005
ISBN 3-5 4 0-2 689 2-8
1 Multi -Robot ... 2005929886
ISSN print edition: 186 0-9 49X
ISSN electronic edition: 186 0-9 503
ISBN-10 3-5 4 0-2 689 2-8 Springer Berlin Heidelberg New York
ISBN-13 9...
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 3 pps
... the inter -robot formation.
Distributing the group control tasks to individual robots must be
compatible with the control and sensing capabilities of the individual
robots. As the inter -robot ... with
inter -robot constraints, determine whether there exist robot trajectories
that maintain those constrains. For both directed and undirected (not
necessarily rigid) formations...
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 4 doc
... essentially two major types of maps; geomet-
rical and topological maps. Geometrical maps provide details of metrical
information (exact co-ordinates and distances) between objects found in
the ... the 3-D external environment. As a result, depth
Q.V. Do et al. : Vision-Based Autonomous Robot Navigation, Studies in Computational Intelli-
www.springerlink.com
c
Springer-Verla...
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 6 ppt
... on Intelligent Robots and Sys-
tems, pp.88 3-8 88, 2001.
19. D. Jung and A. Zelinsky, "Integrating spatial and topological navigation in a
behaviour-based multi -robot application," in ... (SAART) neural net-
work for neuro-engineering of robust ATR systems," in Proc. IEEE Interna-
tional Conference on Neural Networks, pp.246 1-2 466, 1995.
41. P. Lozo. 19 9...
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 10 pdf
... obtained after training. Rule confidences are shown in brackets in the
following order: (i) weights after off-line supervised training; (ii) weights found from on-line reinforcement learning ... effector
acceleration
Inference
machine
Inference
machine
Subnetwork X
Subnetwork Y
Subnetwork Z
Fig. 5. 17 Traditional hierarchical model for the neurofuzzy controller with three
inputs.
Infer...
Innovations in Robot Mobility and Control - Srikanta Patnaik et al (Eds) Part 13 pdf
... Journal of Robotic Systems 18 (2001),
no. 10, 577 –5 87.
2 S. Betgé-Brezetz, R. Chatila, and M. Devi, Natural scene understand-
ing for mobile robot navigation, IEEE International Conference on
Robotics ... Trans. Robotics and Automation 10
(1994), no. 6, 77 6 78 2.
17 A.J. Davison and N. Kita, Sequential localisation and map-building
for real time computer vision and rob...
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