<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:blogger='http://schemas.google.com/blogger/2008' xmlns:georss='http://www.georss.org/georss' xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-1758995092196287691</id><updated>2026-09-05T23:21:10.157-07:00</updated><title type='text'>Embodied Motion Intelligence for Cognitive, Autonomous Robots</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://bio-inspired-smart-sensors.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/1758995092196287691/posts/default?redirect=false'/><link rel='alternate' type='text/html' href='http://bio-inspired-smart-sensors.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><author><name>CMS</name><uri>http://www.blogger.com/profile/12973236077483788601</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='28' height='32' src='//blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiZeZhHPs0xJd_PiBm0DKAEnxJNerKCVLR9eIqtYWQOPPnZV9Ha4Ds1IPQVE7Fh4RZkz0nH12SrnxH_hU1ZRo7Y5hfSzeJz_dfIEdtNbB1cs9LyOaJXuuKkFOfvr_MKvw/s113/1910405_1098643552981_2083096_n.jpg'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>1</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-1758995092196287691.post-5740621620254957168</id><published>2012-06-16T07:33:00.007-07:00</published><updated>2021-02-01T12:40:33.548-08:00</updated><title type='text'></title><content type='html'>&lt;div dir=&quot;ltr&quot; style=&quot;text-align: left;&quot; trbidi=&quot;on&quot;&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;The aim of this project was to design, fabricate and test smart sensors based on Dielectric Electro-Active Polymer (DEAP). The sensors was used on HExapod Cognitive auTonmously Operating Robot (HECTOR) as a test platform for the EMICAB project. The EMICAB project takes a holistic approach to robotics, where nature and especially insects are a source inspiration. Part of the EMICAB project was the development of smart sensors and the integration of them into and a distributed sensor network with a redundancy of sensors mimicking sensory organ functions found on limbs of for instance stick insects.&lt;/div&gt;&lt;div style=&quot;text-align: justify;&quot;&gt;
These Bio-inspired sensors will provide sensory feedback information to the robot both about state of the robot and its surroundings.&lt;br /&gt;
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&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;Figure 1.1: Rendered design model of the six-legged robot HECTOR [1]&lt;/td&gt;&lt;/tr&gt;
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&lt;div&gt;&lt;span style=&quot;font-size: large;&quot;&gt;Project background&lt;/span&gt;&lt;/div&gt;
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&lt;br /&gt;
The
 EMICAB project takes a holistic approach to the engineering of articial
 cognitive systems. The project`s purpose is to integrate smart body 
mechanism in intelligent planning and control behavior of the motors 
[2]. The robot will be used as a testbed for various biologically 
inspired control and navigation approaches. It has 18 rotatory drivers 
which constitute the joints in each of the six legs. These drives are 
fully self-contained, including a brushless DC motor, a harmonic drive 
gear, power electronics, sensors and electronics to control the drive 
independently of a central computer [2]. Sensors will be placed on the 
robot and transmit to the bus the exact position of the joint.&lt;/div&gt;
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&lt;span style=&quot;font-size: 13px;&quot;&gt;Figure 1.2 Ventral view of the right rear leg of a typical insect, showing thelocations of the main types of sense organs. Left, Organs in or on the cuticle (exoskeleton): campaniform sensilla, hair plates, spines, and sensory hairs.Right, The arrangement of organs within the leg: chordotonal organ, strandreceptor, stretch receptor, and muscle receptor organ. Not all of these senseorgans are present together in every species of insect [3].&lt;/span&gt;
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Insects
 typically move around by walking, flying or occasionally swimming. When
 moving on the ground, many insects colopt a tripodal joint in which 
they walk with there legs touching the ground in alternative triangles, 
allowing a rapid get stable movement. In order to walk the insect relies
 on a sensor network where mechanoreceptors are on part of this. 
Mechanoreceptors can be subdivided into three categories: 
proprioceptors, tactile receptors and stress receptors. Proprioceptors 
are sense organs that encode information of the position and the 
movements of parts of the body relative to one another. In insects, leg 
sense organs that serve this function are chordotonal organs, strand 
receptors, stretch receptors, muscle receptor organs and hair plates. 
Tactile receptors are those that encode information about contact with 
external objects. Spines and sensory hairs belong to this group. Stress 
receptors provide information about forces acting on the exoskeleton. 
Campaniform sensilla ful filll this role in the insect leg. The 
boundaries between functional groups are not always sharply de ned [3]. 
In the following project the chordotonal organ and the stretch receptors
 will be used as the main idea for the sensor design.&lt;/div&gt;
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&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiuE5F6z2iff9J82klOJDO_29oPo9b5-kOINg2AturMVb-qZ0nOaplynNzfTyOGXVjSqPKtpyKHxVU2Pqk_dicBosVwxpRIdNIjH0I1YHN1MbqlguPcErousXZCbMaAwQtFA6dKttAb4pw/s1600/tibia_muscle.JPG&quot; style=&quot;margin-left: auto; margin-right: auto;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;232&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiuE5F6z2iff9J82klOJDO_29oPo9b5-kOINg2AturMVb-qZ0nOaplynNzfTyOGXVjSqPKtpyKHxVU2Pqk_dicBosVwxpRIdNIjH0I1YHN1MbqlguPcErousXZCbMaAwQtFA6dKttAb4pw/s320/tibia_muscle.JPG&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: left;&quot;&gt;&lt;span style=&quot;font-size: small; text-align: justify;&quot;&gt;Figure 1.3: The femoral chordotonal organ in a locust. The organ in this&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;font-size: small; text-align: justify;&quot;&gt;insect is anchored to the cuticle at several sites, as well as to the tibia and&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;font-size: small; text-align: justify;&quot;&gt;to the tendon of the tibial fl&lt;/span&gt;&lt;span style=&quot;font-size: small; text-align: justify;&quot;&gt;exor muscle (muscles not shown). The physical&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;font-size: small; text-align: justify;&quot;&gt;arrangement may be diff erent in the organs in other legs or other insects.&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;font-size: small; text-align: justify;&quot;&gt;Most of the sense cells of the chordotonal organ are stretched during fl&lt;/span&gt;&lt;span style=&quot;font-size: small; text-align: justify;&quot;&gt;exion&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;font-size: small; text-align: justify;&quot;&gt;of the tibia whereas others are stretched during extension. [3].&lt;/span&gt;&lt;/td&gt;&lt;/tr&gt;
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Typically,
 a chordotonal organ consists of a mass of as many as 100 sensory cells 
that are attached to one or more strands of connective tissue. The 
connective tissue is stretched between the cuticle and a movable point, 
either the tendon of a muscle or a part of the next leg segment, as 
shown in figure 1.2. When the strand of connective tissue is stretched 
during leg movement, the branches of the sensory cells that are embedded
 in it are also stretched, resulting in the activation of the receptors.
 Each of the individual sensory cells in a chordotonal organ sends a 
separate sensory signal back to the central nervous system. Chordotonal 
organs are distributed roughly one to a leg segment, although it is 
possible for a segment to have more than one. In insect legs, most of the sensory cells of chordotonal organs are 
activated by flexion of the more distal segment of the leg. That is, the
 chordotonal organ in the femur is activated by flexion of the tibia, 
and the chordotonal organ in the coxa is activated by flexion of the 
femur [3].&lt;br /&gt;
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&lt;div class=&quot;separator&quot; style=&quot;clear: both;&quot;&gt;&lt;span style=&quot;font-size: large;&quot;&gt;Problem formulation&lt;/span&gt;&lt;/div&gt;
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The core of the problem is to design and fabricate smart sensors which 
can be placed on the leg of HECTOR and measure the joint position. In 
this project different design of sensors will be tested to full-fill this 
requirement. Furthermore a testing platform should be designed and built
 in order to test both sensor material, sensor design and contact 
material.&lt;br /&gt;
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Figure 1.4: Requirements for the movement of the joint between the tibia&amp;nbsp;and the femur, the other two joints found on the leg have similar movement&amp;nbsp;requirements.&lt;/div&gt;
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The EMICAB consortium have listed a set of requirements which the joint sensors should full-fill:&lt;/div&gt;
&lt;ul&gt;
&lt;li&gt;The accuracy should be 1 degree or below.&lt;/li&gt;
&lt;li&gt;The sensors should be able to do the full mount of the joint which is 120°.&lt;/li&gt;
&lt;li&gt;The maximum speed of the joint 57 [mm/s], so the sensor should be tested uptil this speed.&lt;/li&gt;
&lt;li&gt;The readout electronics has to be fast enough to get values from 
the sensor, so at full speed it is still has to achieved a 1 degree 
resolution which means with at least 120 
Hz.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 
&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/li&gt;
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&lt;div class=&quot;separator&quot; style=&quot;clear: both;&quot;&gt;&lt;span style=&quot;font-size: large;&quot;&gt;Outcome&lt;/span&gt;&lt;/div&gt;
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The outcome of this project is to apply DEAP joint sensor on the limb of
 Hector. The idea is to mount the sensor as a ligament found in a human 
knee. The design idea can be seen  gure 1.3 where the tendon of tibia 
extensor and tendon of tibia flexor muscle is working in parallel. When 
the insect moves the leg while it is walking, extensor muscle is 
stretching and flexor muscle is unstreching. As seen in  gure 1.5 
similar design was made. Here the sensors end with the electrical 
connections is  xed on the non-moving part of the limb. The other part 
of the sensors are  xed on the moving part of the joint and follows it 
during rotation. In this con guration it is needed to minimize the high 
friction between the silicone surface of the sensor and the motor cover 
of the joint. This has be done with a surface coating for instance by 
mounting the sensor in a highly stretchable fabric. Furthermore, the 
repeatability will be tested of the sensor in the full movement range 
and develop embedded electronics for capacitance measurements which  t inside the limb of HECTOR.&lt;br /&gt;
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Figure 1.5: The idea for mounting the sensor on the leg of the robot. The&amp;nbsp;end of the sensors with the electrical connection are  xed on the non-moving&amp;nbsp;part of the limb. The other part of the sensors are  xed on the moving part&amp;nbsp;of the joint and follow it during rotation.&lt;/div&gt;
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&lt;div class=&quot;separator&quot; style=&quot;clear: both;&quot;&gt;&lt;span style=&quot;font-size: large;&quot;&gt;Conclusion&lt;/span&gt;&lt;/div&gt;
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In this project I was&amp;nbsp;using the DEAP material from 
Danfoss PolyPower A/S, as active material in smart sensors for the 
EMICAB hexapod robot. During this project different sensor designs were 
tested in order to optimize the way the sensor was mounted on the joint 
of the robot. The idea was to design bio-inspired from insect&#39;s legs. 
Two designs were tested, a sheet stretch sensor and a rolled-up sensor 
which would optimize the active sensor area.&lt;/div&gt;&lt;div style=&quot;text-align: justify;&quot;&gt;&lt;div class=&quot;separator&quot; style=&quot;clear: both;&quot;&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class=&quot;separator&quot; style=&quot;clear: both;&quot;&gt;

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Finally, the DEAP sensor was fabricated, coated with silicone in order to 
protect the sensor from scratches and damages. An additional sleeve of 
textile polyester was applied to the sensor to reduce the friction 
between the silicone layer and the plastic of the joint. During this 
initial phase of sensor building a basic understanding the DEAP material
 and its characteristics were obtained. Sensors based on the DEAP 
material were tested with di fferent contact materials to the silver 
electrodes to  nd the most appropriate contact material. Conductive tape
 which has a high electrical conductivity and its easy handling. A 
challenge was found in this project was to maintain the properties 
of this unique DEAP material when contact were applied to it.&lt;/div&gt;
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The
 electronics was&amp;nbsp;made in order to convert the capacitance in to 
frequency by using a 555 timer circuit. The frequency was converted
 into a voltage by using LM2917 frequency to voltage converter. The 
electronics which was&amp;nbsp;designed to full-fill the accuracy 
requirements stated.&amp;nbsp;&lt;/div&gt;
Moreover
 a precise manually manipulated test platform, here called the optical 
rail was&amp;nbsp;used to test the sensors in a linear stretch. The 
sensitivity of the linear stretch for the 110 mm long sensor was&amp;nbsp;calculated 6 [mV/deg] and for 130 mm long sensor it was 4 [mV/deg]. 
Afterwards the sensors was&amp;nbsp;mounted on the joint and was&amp;nbsp;tested dynamically were the material was bend over the joint. Due to the
 motors not being available, a servo motor was&amp;nbsp;mounted on the limb.
 Arduino was&amp;nbsp;used to control servo both speed ans position of the 
limb. The speed of the motor was&amp;nbsp;measured and it was found out that
 the maximum speed of the full joint is 54.5 [ms/deg]. The sensors was&amp;nbsp;tested dynamically by using Labview program and saved the data in a
  le. On the joint both a 110 mm and 130 mm long sensor were mounted. 
The 130 mm long sensor was able to measure between 20 and 120 degrees 
and the 110 mm long sensor was able to measure between 0 and 55 degrees, so the two sensors completed the full movement
 of the 120 degrees stated in the requirements. The sensor for both 
cases had the same linear behavior. The slopes which was&amp;nbsp;found for
 linear stretch and dynamical stretch were the same. The sensitivity for
 dynamical stretch for the 110 mm long sensor was&amp;nbsp;calculated 10 
[mV/deg] and for 130 mm long sensor it was 8 [mV/deg]. Therefore the 
microcontroller which will be used for the bus has to be able to measure
 at least 10 [mV/deg] accuracy.&lt;br /&gt;
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It
 can also concluded that each sensor needs to be calibrated in order to 
know the slope. The reason behind this is that the sensors were made by 
hand and there were differences between the fabricated sensors, because 
of small ripples when then silicone were applied on the sensor, also 
when the sensor cut out or a conductive tape contacted to the sensor.&amp;nbsp;&lt;/div&gt;
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As a  final conclusion the fabricated sensors were good enough to full-fill the requirements stated in the problem formulation.&lt;/div&gt;
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&lt;iframe allowfullscreen=&#39;allowfullscreen&#39; webkitallowfullscreen=&#39;webkitallowfullscreen&#39; mozallowfullscreen=&#39;mozallowfullscreen&#39; width=&#39;320&#39; height=&#39;266&#39; src=&#39;https://www.youtube.com/embed/-STOaE8qzVg?feature=player_embedded&#39; frameborder=&#39;0&#39;&gt;&lt;/iframe&gt;&lt;/div&gt;
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&lt;span style=&quot;font-size: large;&quot;&gt;Bibliography&lt;/span&gt;&lt;/div&gt;
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[1] Rendered design model of six-legged robot HECTOR &lt;a href=&quot;http://www.gizmag.com/insect-inspired-hector-walking-robot/18421/picture/133185/&quot;&gt;http://www.gizmag.com/insect-inspired-hector-walking-robot/18421/picture/133185/&lt;/a&gt;&lt;br /&gt;
[2] EMICAB(Embodied Motion Intelligence for Cognitive Autonomous Robots): &lt;a href=&quot;http://ndeaa.jpl.nasa.gov/nasa-nde/newsltr/WW-EAP_Newsletter13-1.pdf&quot;&gt;http://ndeaa.jpl.nasa.gov/nasa-nde/newsltr/WW-EAP_Newsletter13-1.pdf&lt;/a&gt;&lt;br /&gt;
[3] Fred Delcomyn, Mark E. Nelson and Jan H. Cocatre-Zilgien. The International Journal of Robotics Research 1996 15: 113 DOI: 10.1177/027836499601500201 &lt;br /&gt;
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