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DTSTAMP:20260501T145653Z
UID:361D55B0-D7AC-4838-81AB-5F45446EEC18
DTSTART;TZID=Europe/London:20260513T150000
DTEND;TZID=Europe/London:20260513T160000
DESCRIPTION:This session explores how modern intelligent systems perceive\,
  act\, and adapt in imperfect real-world conditions. We will look at how r
 obots can reliably identify graspable objects even in highly cluttered env
 ironments. At the same time\, we will question what happens when technolog
 y fails\, ages\, or is repurposed by its users. By combining perspectives 
 from robotics and Human-Computer Interaction (HCI)\, the session highlight
 s both precision-driven automation and human-centered adaptation. Expect a
  discussion that connects technical innovation with broader reflections on
  how we design\, use\, and sustain technology.\n\nA link to the two academ
 ic papers which will be discussed in the session is provided below:\n\n-\n
 [Graspness Discovery in Clutters for Fast and Accurate Grasp Detection](ht
 tps://openaccess.thecvf.com/content/ICCV2021/papers/Wang_Graspness_Discove
 ry_in_Clutters_for_Fast_and_Accurate_Grasp_Detection_ICCV_2021_paper.pdf):
  The first paper introduces an important novel concept\, “graspness\,”
  in robotic perception\, which has been widely used in robotic manipulatio
 n research\, addressing a key limitation in grasp detection by identifying
  where robots should grasp in cluttered scenes. By leveraging geometric cu
 es and neural networks\, this work significantly improves both the efficie
 ncy and accuracy of robotic manipulation systems.\n\n-\n[Breakdown\, Obsol
 escence and Reuse: HCI and the Art of Repair](https://www.leokang.com/publ
 ications/breakdown_jackson.pdf): The second paper shifts perspective to HC
 I\, exploring how breakdown\, obsolescence\, and repair are not merely fai
 lures\, but opportunities for creativity and rethinking our relationship w
 ith technology. It challenges conventional design paradigms by positioning
  maintenance and reuse as central to interaction design.\n\nCo-sponsored b
 y: ZIENKIEWICZ INSTITUTE FOR MODELLING\, DATA AND AI\n\nAgenda: \n📅 Wed
 nesday\, 13th May\n🕒 3:00 – 4:00 PM\n📍 CoFo 014 (Ground Floor\, Co
 mputational Foundry) &amp; Online Zoom Meeting\n\nJoin us to engage in insight
 ful discussions\, connect interdisciplinary ideas across robotics and HCI\
 , network with fellow IEEE members\, and deepen your academic perspective.
  We are looking forward to seeing you there!\nMore information: https://gi
 thub.com/MasterPranjal/swansea-ieee.github.io\n\nFabian Way\, Crymlyn Burr
 ows\, Skewen\, Swansea\, Wales\, United Kingdom\, SA1 8EN\, Virtual: https
 ://events.vtools.ieee.org/m/558024
LOCATION:Fabian Way\, Crymlyn Burrows\, Skewen\, Swansea\, Wales\, United K
 ingdom\, SA1 8EN\, Virtual: https://events.vtools.ieee.org/m/558024
ORGANIZER:swansea.ieee@gmail.com
SEQUENCE:14
SUMMARY:4th Reading Clinic: Wednesday 13th May 3-4 pm - CoFo 014 &amp; Online
URL;VALUE=URI:https://events.vtools.ieee.org/m/558024
X-ALT-DESC:Description: &lt;br /&gt;&lt;p dir=&quot;auto&quot;&gt;This session explores how moder
 n intelligent systems perceive\, act\, and adapt in imperfect real-world c
 onditions. We will look at how robots can reliably identify graspable obje
 cts even in highly cluttered environments. At the same time\, we will ques
 tion what happens when technology fails\, ages\, or is repurposed by its u
 sers. By combining perspectives from robotics and Human-Computer Interacti
 on (HCI)\, the session highlights both precision-driven automation and hum
 an-centered adaptation. Expect a discussion that connects technical innova
 tion with broader reflections on how we design\, use\, and sustain technol
 ogy.&lt;/p&gt;\n&lt;p dir=&quot;auto&quot;&gt;A link to the two academic papers which will be di
 scussed in the session is provided below:&lt;/p&gt;\n&lt;ol dir=&quot;auto&quot;&gt;\n&lt;li&gt;\n&lt;p d
 ir=&quot;auto&quot;&gt;&lt;a href=&quot;https://openaccess.thecvf.com/content/ICCV2021/papers/W
 ang_Graspness_Discovery_in_Clutters_for_Fast_and_Accurate_Grasp_Detection_
 ICCV_2021_paper.pdf&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;Graspness Discovery in
  Clutters for Fast and Accurate Grasp Detection&lt;/a&gt;: The first paper intro
 duces an important novel concept\, &amp;ldquo\;graspness\,&amp;rdquo\; in robotic 
 perception\, which has been widely used in robotic manipulation research\,
  addressing a key limitation in grasp detection by identifying where robot
 s should grasp in cluttered scenes. By leveraging geometric cues and neura
 l networks\, this work significantly improves both the efficiency and accu
 racy of robotic manipulation systems.&lt;/p&gt;\n&lt;/li&gt;\n&lt;li&gt;\n&lt;p dir=&quot;auto&quot;&gt;&lt;a h
 ref=&quot;https://www.leokang.com/publications/breakdown_jackson.pdf&quot; target=&quot;_
 blank&quot; rel=&quot;noopener&quot;&gt;Breakdown\, Obsolescence and Reuse: HCI and the Art 
 of Repair&lt;/a&gt;: The second paper shifts perspective to HCI\, exploring how 
 breakdown\, obsolescence\, and repair are not merely failures\, but opport
 unities for creativity and rethinking our relationship with technology. It
  challenges conventional design paradigms by positioning maintenance and r
 euse as central to interaction design.&lt;/p&gt;\n&lt;/li&gt;\n&lt;/ol&gt;&lt;br /&gt;&lt;br /&gt;Agenda
 : &lt;br /&gt;&lt;p dir=&quot;auto&quot;&gt;📅 Wednesday\, 13th May&lt;br&gt;🕒 3:00 &amp;ndash\; 4:00
  PM&lt;br&gt;📍 CoFo 014 (Ground Floor\, Computational Foundry) &amp;amp\; Online 
 Zoom Meeting&lt;/p&gt;\n&lt;p dir=&quot;auto&quot;&gt;Join us to engage in insightful discussion
 s\, connect interdisciplinary ideas across robotics and HCI\, network with
  fellow IEEE members\, and deepen your academic perspective. We are lookin
 g forward to seeing you there!&lt;/p&gt;\n&lt;div class=&quot;markdown-heading&quot; dir=&quot;aut
 o&quot;&gt;More information: &lt;a href=&quot;https://github.com/MasterPranjal/swansea-iee
 e.github.io&quot;&gt;https://github.com/MasterPranjal/swansea-ieee.github.io&lt;/a&gt;&amp;n
 bsp\;&lt;/div&gt;
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