<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to GraspingExperiment</title><link>https://sourceforge.net/p/farsa/wiki/GraspingExperiment/</link><description>Recent changes to GraspingExperiment</description><atom:link href="https://sourceforge.net/p/farsa/wiki/GraspingExperiment/feed" rel="self"/><language>en</language><lastBuildDate>Fri, 20 Nov 2015 10:21:55 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/farsa/wiki/GraspingExperiment/feed" rel="self" type="application/rss+xml"/><item><title>GraspingExperiment modified by Tomassino Ferrauto</title><link>https://sourceforge.net/p/farsa/wiki/GraspingExperiment/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v7
+++ v8
@@ -8,12 +8,14 @@

 Reaching and grasping on an iCub robot
 =======
-The **GraspExperiment** plugin enables a simulated iCub robot to acquire integrated reaching and grasping capabilities that enable it to reach a ball located in varying positions over a table, grasp it, handle it, and elevate it (Massera et al, 2014).  Beside the difficulties concerning the need to control an articulated robot with many DOFs this represents a rather challenging task since it requires interaction with physical objects (including a sphere that can easily roll away from the robot’s peripersonal space) and integration of three interdependent behaviours (reaching, grasping, and lifting). This indeed represents one of the most complex tasks that have been successfully mastered in evolutionary robotics and more generally in adaptive methods. The results obtained in simulation have not been validated in hardware. However, a video described the behaviour of a similar experiment in which the evolved controller have been successfully ported on the physical robot is available from this [page](http://laral.istc.cnr.it/res/lang-dev/).
+
+The **GraspExperiment** plugin enables a simulated iCub robot to acquire integrated reaching and grasping capabilities that enable it to reach a ball located in varying positions over a table, grasp it, handle it, and elevate it (Massera et al, 2014). Beside the difficulties concerning the need to control an articulated robot with many DOFs, this represents a rather challenging task since it requires interaction with physical objects (including a sphere that can easily roll away from the robot’s peripersonal space) and integration of three interdependent behaviours (reaching, grasping, and lifting). This indeed represents one of the most complex tasks that have been successfully mastered in evolutionary robotics and more generally in adaptive methods. The results obtained in simulation have not been validated in hardware. However, a video described the behaviour of a similar experiment in which the evolved controller have been successfully ported on the physical robot is available from this [page](http://laral.istc.cnr.it/res/lang-dev/).

 [[img src=GraspingExperiment.png width=60%]]

-The **ReachExperiment** plugin, instead, enables to replicate a simpler experiment in which the robot is evolved simply for the ability to reach variable target point in the robot peri-personal space.  
-The source code of these plugins can eventually be modified to replicated other related experiments involving the iCub platform, such the experiments on active categorization described in (Tuci  et al, 2010), language and action described in (Massera et al., 2010), and language comprehension described in (Tuci et al., 2011). 
+The **ReachExperiment** plugin, instead, enables to replicate a simpler experiment in which the robot is evolved simply for the ability to reach variable target point in the robot peri-personal space.
+
+The source code of these plugins can eventually be modified to replicated other related experiments involving the iCub platform, such the experiments on active categorization described in (Tuci  et al, 2010), language and action described in (Massera et al., 2010), and language comprehension described in (Tuci et al., 2011).

 **References**

&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Tomassino Ferrauto</dc:creator><pubDate>Fri, 20 Nov 2015 10:21:55 -0000</pubDate><guid>https://sourceforge.net7b9e89b26de8392340cb9d464da429e81d2a31e3</guid></item><item><title>GraspingExperiment modified by Tomassino Ferrauto</title><link>https://sourceforge.net/p/farsa/wiki/GraspingExperiment/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Tomassino Ferrauto</dc:creator><pubDate>Tue, 17 Nov 2015 13:59:24 -0000</pubDate><guid>https://sourceforge.nete62079e33518a7d209dfa247df9602bcb3a07aa3</guid></item><item><title>GraspingExperiment modified by Tomassino Ferrauto</title><link>https://sourceforge.net/p/farsa/wiki/GraspingExperiment/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Tomassino Ferrauto</dc:creator><pubDate>Sat, 14 Nov 2015 08:52:47 -0000</pubDate><guid>https://sourceforge.netfa0d6b94da4eab89a5d6e893accf6f39e3d671d3</guid></item><item><title>GraspingExperiment modified by Tomassino Ferrauto</title><link>https://sourceforge.net/p/farsa/wiki/GraspingExperiment/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Tomassino Ferrauto</dc:creator><pubDate>Fri, 13 Nov 2015 10:31:40 -0000</pubDate><guid>https://sourceforge.netcc4d40f5fb3e096635374348212ec13ec59f3b4b</guid></item><item><title>GraspingExperiment modified by Tomassino Ferrauto</title><link>https://sourceforge.net/p/farsa/wiki/GraspingExperiment/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v3
+++ v4
@@ -1,4 +1,4 @@
-[Prev: The Discrimination Experiment]([KheperaDiscriminationExperiment]) |  | [Next: Collective Behaviour and Swarm Robotics]([CollectiveForagingExperiment])
+[Prev: The Discrimination Experiment]([KheperaDiscriminationExperiment]) | [Up: Home]([Home]) | [Next: Collective Behaviour and Swarm Robotics]([CollectiveForagingExperiment])
  -------|--------|----------
         |        |

&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Tomassino Ferrauto</dc:creator><pubDate>Thu, 12 Nov 2015 10:36:35 -0000</pubDate><guid>https://sourceforge.net4c467387bd7e3766bd8c3ea6f2467760e43c8708</guid></item><item><title>GraspingExperiment modified by Tomassino Ferrauto</title><link>https://sourceforge.net/p/farsa/wiki/GraspingExperiment/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v2
+++ v3
@@ -1,3 +1,11 @@
+[Prev: The Discrimination Experiment]([KheperaDiscriminationExperiment]) |  | [Next: Collective Behaviour and Swarm Robotics]([CollectiveForagingExperiment])
+ -------|--------|----------
+        |        |
+
+**Table of contents**
+
+[TOC]
+
 Reaching and grasping on an iCub robot
 =======
 The **GraspExperiment** plugin enables a simulated iCub robot to acquire integrated reaching and grasping capabilities that enable it to reach a ball located in varying positions over a table, grasp it, handle it, and elevate it (Massera et al, 2014).  Beside the difficulties concerning the need to control an articulated robot with many DOFs this represents a rather challenging task since it requires interaction with physical objects (including a sphere that can easily roll away from the robot’s peripersonal space) and integration of three interdependent behaviours (reaching, grasping, and lifting). This indeed represents one of the most complex tasks that have been successfully mastered in evolutionary robotics and more generally in adaptive methods. The results obtained in simulation have not been validated in hardware. However, a video described the behaviour of a similar experiment in which the evolved controller have been successfully ported on the physical robot is available from this [page](http://laral.istc.cnr.it/res/lang-dev/).
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Tomassino Ferrauto</dc:creator><pubDate>Thu, 12 Nov 2015 10:21:29 -0000</pubDate><guid>https://sourceforge.net059a461de30664f36f7e579e86efb106429a8def</guid></item><item><title>GraspingExperiment modified by Stefano Nolfi</title><link>https://sourceforge.net/p/farsa/wiki/GraspingExperiment/</link><description>&lt;div class="markdown_content"&gt;&lt;pre&gt;--- v1
+++ v2
@@ -9,8 +9,7 @@

 **References**

-Massera G., Ferrauto T., Gigliotta O., Nolfi S. (2014). Designing adaptive humanoid robots
-through the FARSA open-source framework. Adaptive Behavior, 1-11.
+Massera G., Ferrauto T., Gigliotta O., Nolfi S. (2014). Designing adaptive humanoid robots through the FARSA open-source framework. Adaptive Behavior, 1-11.
 Massera G., Tuci E., Ferrauto T., Nolfi S. (2010). The facilitatory role of linguistic instructions on developing manipulation skills, IEEE Computational Intelligence Magazine, (5) 3: 33-42.
 Tuci E., Ferrauto T., Zeschel A., Massera G., Nolfi S. (2011). An Experiment on behaviour generalisation and the emergence of linguistic compositionality in evolving robots, IEEE Transactions on Autonomous Mental Development, (3) 2: 176-189
 Tuci E., Massera G., Nolfi S. (2010). Active categorical perception of object shapes in a simulated anthropomorphic robotic arm, Transaction on Evolutionary Computation Journal, (14) 6: 885-899.
&lt;/pre&gt;
&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Stefano Nolfi</dc:creator><pubDate>Fri, 23 Oct 2015 12:54:19 -0000</pubDate><guid>https://sourceforge.net91445bc13f89b25136c05bc3ce49bf97a883014f</guid></item><item><title>GraspingExperiment modified by Stefano Nolfi</title><link>https://sourceforge.net/p/farsa/wiki/GraspingExperiment/</link><description>&lt;div class="markdown_content"&gt;&lt;h1 id="reaching-and-grasping-on-an-icub-robot"&gt;Reaching and grasping on an iCub robot&lt;/h1&gt;
&lt;p&gt;The &lt;strong&gt;GraspExperiment&lt;/strong&gt; plugin enables a simulated iCub robot to acquire integrated reaching and grasping capabilities that enable it to reach a ball located in varying positions over a table, grasp it, handle it, and elevate it (Massera et al, 2014).  Beside the difficulties concerning the need to control an articulated robot with many DOFs this represents a rather challenging task since it requires interaction with physical objects (including a sphere that can easily roll away from the robot’s peripersonal space) and integration of three interdependent behaviours (reaching, grasping, and lifting). This indeed represents one of the most complex tasks that have been successfully mastered in evolutionary robotics and more generally in adaptive methods. The results obtained in simulation have not been validated in hardware. However, a video described the behaviour of a similar experiment in which the evolved controller have been successfully ported on the physical robot is available from this &lt;a class="" href="http://laral.istc.cnr.it/res/lang-dev/" rel="nofollow"&gt;page&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;&lt;img src="./attachment/GraspingExperiment.png" width="60%"/&gt;&lt;/p&gt;
&lt;p&gt;The &lt;strong&gt;ReachExperiment&lt;/strong&gt; plugin, instead, enables to replicate a simpler experiment in which the robot is evolved simply for the ability to reach variable target point in the robot peri-personal space.&lt;br/&gt;
The source code of these plugins can eventually be modified to replicated other related experiments involving the iCub platform, such the experiments on active categorization described in (Tuci  et al, 2010), language and action described in (Massera et al., 2010), and language comprehension described in (Tuci et al., 2011). &lt;/p&gt;
&lt;p&gt;&lt;strong&gt;References&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Massera G., Ferrauto T., Gigliotta O., Nolfi S. (2014). Designing adaptive humanoid robots&lt;br/&gt;
through the FARSA open-source framework. Adaptive Behavior, 1-11.&lt;br/&gt;
Massera G., Tuci E., Ferrauto T., Nolfi S. (2010). The facilitatory role of linguistic instructions on developing manipulation skills, IEEE Computational Intelligence Magazine, (5) 3: 33-42.&lt;br/&gt;
Tuci E., Ferrauto T., Zeschel A., Massera G., Nolfi S. (2011). An Experiment on behaviour generalisation and the emergence of linguistic compositionality in evolving robots, IEEE Transactions on Autonomous Mental Development, (3) 2: 176-189&lt;br/&gt;
Tuci E., Massera G., Nolfi S. (2010). Active categorical perception of object shapes in a simulated anthropomorphic robotic arm, Transaction on Evolutionary Computation Journal, (14) 6: 885-899.&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Stefano Nolfi</dc:creator><pubDate>Fri, 23 Oct 2015 12:52:03 -0000</pubDate><guid>https://sourceforge.net69b064d1eebe1ef4f5ffb716c1e7b1242113bf52</guid></item></channel></rss>