( anguilliform robot with electric sense)
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A new sense for underwater robotics in confined environments : the electric sense . GDR ROB GT2 (22 Novembre 2012 , Paris-Jussieu) Frédéric Boyer, Vincent Lebastard. ( ANguilliform Robot with ELectric Sense). 1. Aim of Angels. - PowerPoint PPT PresentationTRANSCRIPT
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A new sense for underwater robotics in confined environments : the electric sense.
GDR ROB GT2(22 Novembre 2012, Paris-Jussieu)
Frédéric Boyer, Vincent Lebastard
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(ANguilliform Robot with ELectric Sense)
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Aim of Angels
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To build a re-configurable anguilliform swimming robot…
Able to split into smaller robots (or modules) propelled by propellers
Where each robot:
can sense its environment (obstacles, objects and co-robots) and also communicate (co-robots) with a bio-inspired sense little known to roboticists: “the electric sense”.
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With these basic choices, we are exploring the potentialities offered by:
Self adaptation of the morphology to the situation of the perception (size and shape of the objects…) and locomotion
Multi-robot cooperation and communication
… in order to design an AUV adapted to a wide spectrum of uses, in particular in environments where vision or sonar are of no use (murky waters with particles, confined environments, shallow waters…).
Objectives of Angels
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In order to perceive its environment, the fish polarizes two regions of its body…
Gnathonemus petersii
By comparing the currents crossing the skin with and without objects,
the fish perceives the objects (shape, locations, electric colors…)
What is electric sense?
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Bio-inspired approach…
The electric sensor
Physical principle: U imposed, I measured
… based on this principle, we have built a set of slender probes… (ARMINES) [IEEE Sensor, sub.]
African dipolar fish
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Electrolocation test bed
Electric sensor test-bed
ANGELS module (SSSA) + electric sensor (ARMINES)
Object electrolocation
dSPACE rapid control prototyping device
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Originally, it appeared as the most difficult theoretical one that Angels addresses.
Basically, it can be stated as follows:
1°) First formulation:
“Find such that in the scene :
For Bc imposed and measured on the sensor.”
.( ) 0
Inverse problem Impedance – Tomography problem
Any electrolocation algorithm has to solve the inverse electric problem…
From CVLab (EPFL)EEG algorithms
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Inverse electric problem
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“ Find and such that the electric matrix equation:
2°) Second formulation:
p
Inverse problem Finite dimensional non linear problem
Too costly to be used on-line… Reduction of the parametric space
constant on sub-domains
0 + BC of sensor + B. crossing C
Considering simple shaped objects analytic solutions …
For any and respectively imposed and measured.” U I
Solvable with classical nonlinear control techniques…
U R(p,)I
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Inverse electric problem
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… gave first encouraging results but some limitations arose:
Requires an analytical model of the scene
Due to the sensor range, it requires to change the state dimension …
For navigation a Kalman filtering based approach [IJRR, to appear.]…
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We begun by adopting…
Solution: Use a reactive approach!
Limitations became a serious drawback due to the increasing complexityof the project (complex scenes, multi-agent…).
Perception Action
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Inverse electric problem
In two steps…
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– Method of reflections: Interactions sensor-object = successive reflections I I (0) I (1) I (2) , where:
...
currents reflected by the object with no sensor
(0)I currents with no object(1)I electric response produced by
the sensor to recover its equilibrium
(2)I
I Iax Ilat
– Exploitation of the morphology of the sensor:
1°) Deeper understanding of models [IEEE TRO 2012] based on:
Axial currents
Lateral currents
Bio-inspiration
tells us if object is conductive or insulating, : if it is on left or right
Ilat ~ lat (E
(1)), Slenderness:
Iax
Ilat 10
Exploitation of action-perception synergies
Bilateral symmetry:
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2°) Coming back to the nature…
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From IIBCE
The idea consists in implementing this navigation strategy on the rigid modules…11
Exploitation of action-perception synergies
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In order to achieve this navigation strategy [IEEE TRO sub.]…
Remove the basal component from measurements
Apply the control law:
With simple , one can encode relevant navigation behaviors, as :
Seeking conducting objects
Avoiding insulating obstacles
(0)I
V cte,
Ilat ~ lat (E
(1)) The sensor aligns on the current lines.
Method of potentials where Potentials are not virtual but real
k Ilat
k k(Iax )
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Exploitation of action-perception synergies
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Analytical study of stability
Closed loop Kinematics:
Using the method of reflexions...
Attractive law Repulsive law
ANGELS' Review
Exploitation of action-perception synergies
Reactivity increases with k/V
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Simulations
Behaviour = seeking conductors and avoiding insulators
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Exploitation of action-perception synergies
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15Portrait of the perturbative component of the field
Portrait of the total electric field
Seeking a conductive object
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Exploitation of action-perception synergies
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Experiments
Behaviour = Seeking conductors and avoiding insultors
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Exploitation of action-perception synergies
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Seeking conductors and avoiding insultors: experiments
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Tank with no object Tank with an active dipole
Tank with 2 insulators Tank + 3 insulators + 1 conduct. 17
Exploitation of action-perception synergies
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From memory-less to mnesic reactive control
New perspective to the pb of underwater navigation in confined environments…
requires no model can be applied to Angels module (bilateral symmetry) the electric field is an extension of the body of the robot (embodiment) exploits the haptic modality of electric senseSensory-motor loops exploiting perception-action synergies (solve inverse pb by navigation) Virtual “Real" potential field approach for underwater navigation Memory – less reactive control uses only two measurements (head) electrodes (binocular sensor)
If we enrich the measurements with neck electrodes (depth)…
We can design mnesic reactive laws encoding more complex behaviors as “object exploration”…
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Exploitation of action-perception synergies
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Exploration of a small objects…
Mnesic reactive law : Experimental results
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Exploration of a large objects
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Mnesic reactive law : Experimental results
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Exploration of a large object (wall following)
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Mnesic reactive law : Experimental results
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Angels demo
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Angels demo