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		<title><![CDATA[ Robotics & Automation Magazine, IEEE - new TOC ]]></title>
		<link>http://ieeexplore.ieee.org</link>
		<description>TOC Alert for Publication# 100 </description>
		<year>2009</year>
		<month>June     </month>
		<day>19</day>
		<item>
			<title><![CDATA[IEEE Robotics & Automation Magazine - cover]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069816]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069816]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>C1</startPage>
			<endPage>C1</endPage>
			<fileSize>7286</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Table of contents]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069818]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069818]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>1</startPage>
			<endPage>1</endPage>
			<fileSize>228</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Heading Toward an End [From the editor's desk]]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069819]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069819]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>2</startPage>
			<endPage>2</endPage>
			<fileSize>411</fileSize>
			<authors><![CDATA[Stramigioli, S.;]]></authors>
		</item>
		<item>
			<title><![CDATA[All You Can mIEEEt [President's message]]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069821]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069821]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>4</startPage>
			<endPage>10</endPage>
			<fileSize>1652</fileSize>
			<authors><![CDATA[Siciliano, B.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Cooperative control of multiple heterogeneous unmanned vehicles for coverage and surveillance [From the guest editors]]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069826]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069826]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>12</startPage>
			<endPage>12</endPage>
			<fileSize>45</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Society news]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069828]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069828]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>14</startPage>
			<endPage>20</endPage>
			<fileSize>786</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Surgical Robotics [TC spotlight]]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069830]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069830]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>16</startPage>
			<endPage>17</endPage>
			<fileSize>2616</fileSize>
			<authors><![CDATA[Alterovitz, R.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Robotics Engineering: A Discipline Whose Time Has Come [Education]]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069831]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069831]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>18</startPage>
			<endPage>20</endPage>
			<fileSize>1134</fileSize>
			<authors><![CDATA[Gennert, M.A.;Tryggvason, G.;]]></authors>
		</item>
		<item>
			<title><![CDATA[ARSO09]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069832]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069832]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>21</startPage>
			<endPage>21</endPage>
			<fileSize>1125</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Mapping and Tracking]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069833]]></link>
			<description><![CDATA[This article presents the implementation of decentralized data fusion (DDF) and cooperative control algorithms on an unmanned aerial system (UAS).We conduct a number of demonstrations with a pair of unmanned aerial vehicles (UAVs) performing an information-gathering mission, and we show that significant benefits can be achieved by enabling cooperation through the sharing of information between members of the team. The objective is to utilize the UAV team to estimate the position and velocity of a number of ground-based features. The UAVs are given some prior knowledge of the feature states and are required to gather further information above a predefined threshold. This situation models a scenario where initial information is made available from an external source (e.g., a high-flying UAV or satellite imagery), which then prompts the start of the feature-localizationmission.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069833]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>22</startPage>
			<endPage>34</endPage>
			<fileSize>4529</fileSize>
			<authors><![CDATA[Cole, D.T.;Goktogan, A.H.;Thompson, P.;Sukkarieh, S.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Autonomous UAV path planning and estimation]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069834]]></link>
			<description><![CDATA[Unmanned aerial vehicles (UAVs) have shown promise in recent years for autonomous sensing. UAVs systems have been proposed for a wide range of applications such as mapping, surveillance, search, and tracking operations. The recent availability of low-cost UAVs suggests the use of teams of vehicles to perform sensing tasks. To leverage the capabilities of a team of vehicles, efficient methods of decentralized sensing and cooperative path planning are necessary. The goal of this work is to examine practical control strategies for a team of fixed-wing vehicles performing cooperative sensing. We seek to develop decentralized, autonomous control strategies that can account for a wide variety of sensing missions. Sensing goals are posed from an information theoretic standpoint to design strategies that explicitly minimize uncertainty. This work proposes a tightly coupled approach, in which sensor models and estimation objectives are used online for path planning.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069834]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>35</startPage>
			<endPage>42</endPage>
			<fileSize>1119</fileSize>
			<authors><![CDATA[Tisdale, J.;Kim, Z.;Hedrick, J.K.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Increasing autonomy of UAVs]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069835]]></link>
			<description><![CDATA[Unmanned aerial vehicles (UAVs) are acquiring an increased level of autonomy as more complexmission scenarios are envisioned [1]. For example, UAVs are being used for intelligence, surveillance, and reconnaissance missions as well as to assist humans in the detection and localization of wildfires [2], tracking of moving vehicles along roads [3], [4], and performing border patrol missions [5]. A critical component for networks of autonomous vehicles is the ability to detect and localize targets of interest in a dynamic and unknown environment. The success of these missions hinges on the ability of the algorithms to appropriately handle the uncertainty in the information of the dynamic environment and the ability to cope with the potentially large amounts of communicated data that will need to be broadcast to synchronize information across networks of vehicles. Because of their relative simplicity, centralized mission management algorithms have previously been developed to create a conflict-free task assignment (TA) across all vehicles. However, these algorithms are often slow to react to changes in the fleet and environment and require high bandwidth communication to ensure a consistent situational awareness (SA) from distributed sensors and also to transmit detailed plans back to those sensors.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069835]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>43</startPage>
			<endPage>51</endPage>
			<fileSize>883</fileSize>
			<authors><![CDATA[How, J.P.;Fraser, C.;Kulling, K.C.;Bertuccelli, L.F.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Sharing the load]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069836]]></link>
			<description><![CDATA[Modern technological advances make the deployment of large groups of autonomous mobile agents with onboard computing and communication capabilities increasingly feasible and attractive. In the near future, large groups of such autonomous agents will be used to perform complex tasks in dynamic environments, including transportation and distribution, logistics, surveillance, search and rescue operations, humanitarian demining, environmental monitoring, and planetary exploration]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069836]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>52</startPage>
			<endPage>61</endPage>
			<fileSize>1274</fileSize>
			<authors><![CDATA[Pavone, M.;Savla, K.;Frazzoli, E.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Path Clearance]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069837]]></link>
			<description><![CDATA[In military scenarios, agents (i.e., troops of soldiers, convoys, and unmanned vehicles) may often have to traverse environments with only a limited intelligence about the locations of adversaries. We study a particular instance of this problem that we refer to as path clearance problem. In path clearance, an agent has to navigate to its goal as quickly as possible without being detected by an adversary. When picking a path to follow, the agent does not know the precise locations of adversaries. Instead, it has a list of their possible locations, each associated with the probability of containing an adversary. Any of these locations can be sensed by either the agent itself at a distance close enough (provided the agent has a capability of long-range sensing) or by one of the scouts (if they are available). If no adversary is present at a sensed location, the agent can then safely traverse through it. Otherwise, the agent has to take a detour.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069837]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>62</startPage>
			<endPage>72</endPage>
			<fileSize>2767</fileSize>
			<authors><![CDATA[Likhachev, M.;Stentz, A.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Executive decision support]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069838]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069838]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>73</startPage>
			<endPage>81</endPage>
			<fileSize>2369</fileSize>
			<authors><![CDATA[Xu Chu Ding;Powers, M.;Egerstedt, M.;Shih-Yih Young;Balch, T.;]]></authors>
		</item>
		<item>
			<title><![CDATA[State your position]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069839]]></link>
			<description><![CDATA[Autonomous vehicles (AVs) andmobile robots are developed to carry out specific tasks autonomously, ideally with no human intervention at all [1], [2]. These kinds of vehicles, whether AVs or mobile robots, has generated great interest in recent years, for instance, because of their capacity to work in remote or harmful environments where humans cannot enter because of the extreme operating conditions [3].We are differentiating amobile robot (designed from scratch for a specific task) from an AV (a commercial vehicle with proper sensory and control systems added so as to be autonomous). However, in the sequel, for the sake of simplicity, we will use indistinctly one or the other term. Several applications are found in the literature, varying from material transportation in a common industrial environment [4] to the exciting exploration of a far planet surface [5], [6].]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069839]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>82</startPage>
			<endPage>90</endPage>
			<fileSize>1348</fileSize>
			<authors><![CDATA[Borja, C.A.;Mirats Tur, J.M.;Gordillo, J.L.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Mobile robots in mine rescue and recovery]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069840]]></link>
			<description><![CDATA[Mining accidents have occurred since the early days of mining. Therewere a total of 525 mining disasters (incidents with five or more fatalities) in both coal and metal/nonmetal mines from 1900 through 2007 in the United States, resulting in 12,823 fatalities [1]. Most of these disasters involve mine rescue teams, which are specially trained to perform search and rescue operations in extremely hostile environments. Robots have a great potential to assist in these underground operations, searching ahead of rescue teams and reporting conditions that may be hazardous to the teams. When explosive conditions exist or when heavy smoke or unstable ground conditions prevent team members from entering a mine, robots can become an invaluable tool.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069840]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>91</startPage>
			<endPage>103</endPage>
			<fileSize>2164</fileSize>
			<authors><![CDATA[Murphy, R.R.;Kravitz, J.;Stover, S.L.;Shoureshi, R.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Quadruped walking robots at Tokyo Institute of Technology]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069841]]></link>
			<description><![CDATA[I(Hirose) was walking along a mountain path near Mt. Fuji on a summer day of 1976, when I found a daddy long-legs walking on the ground. I picked it up in my palm and allowed it to walk over my fingers, and the bug walked effortlessly even over finger-made obstacles ten times larger than its own body. While I was watching the motion of the bug, I started to have the desire to make bigger multilegged walking robots, which can walk over large buildings. This was the beginning of our study of walking robots, which was to last for more than 30 years.]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069841]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>104</startPage>
			<endPage>114</endPage>
			<fileSize>3622</fileSize>
			<authors><![CDATA[Hirose, S.;Fukuda, Y.;Yoneda, K.;Nagakubo, A.;Tsukagoshi, H.;Arikawa, K.;Endo, G.;Doi, T.;Hodoshima, R.;]]></authors>
		</item>
		<item>
			<title><![CDATA[2010 IEEE International Conference on Robotics and Automation]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069842]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069842]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>115</startPage>
			<endPage>115</endPage>
			<fileSize>1274</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[On The Upside: A Decade of Growth and Innovation]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069843]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069843]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>116</startPage>
			<endPage>118</endPage>
			<fileSize>788</fileSize>
			<authors><![CDATA[Kelly, A.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Humanoids 09]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069844]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069844]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>117</startPage>
			<endPage>117</endPage>
			<fileSize>1085</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[CIRA 2009]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069845]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069845]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>119</startPage>
			<endPage>119</endPage>
			<fileSize>1766</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Industry News]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069846]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069846]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>120</startPage>
			<endPage>120</endPage>
			<fileSize>521</fileSize>
			<authors><![CDATA[Dietsch, J.;Madhavan, R.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Marine Robotic Systems]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069847]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069847]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>121</startPage>
			<endPage>121</endPage>
			<fileSize>978</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Washington/Northern Virginia RAS Chapter Activities]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069848]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069848]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>122</startPage>
			<endPage>124</endPage>
			<fileSize>360</fileSize>
			<authors><![CDATA[Madhavan, R.;]]></authors>
		</item>
		<item>
			<title><![CDATA[IEEE Transactions on Haptics]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069849]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069849]]></guid>
			<volume>16</volume>
			<issue>2</issue>
			<startPage>123</startPage>
			<endPage>123</endPage>
			<fileSize>1103</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[2010 IEEE-RAS/IFRR School of Robotics Science]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069850]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069850]]></guid>
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			<title><![CDATA[Calendar]]></title>
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			<pubDate><![CDATA[June  2009]]></pubDate>
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			<title><![CDATA[MEMS 2010]]></title>
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			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[June  2009]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=5069815&arnumber=5069852]]></guid>
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