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DTSTAMP:20220720T230240Z
UID:BF4ECC57-BD5E-46A5-BABA-E1907B5C453A
DTSTART;TZID=America/Chicago:20220719T110000
DTEND;TZID=America/Chicago:20220719T120000
DESCRIPTION:The ability of a robot to operate in an uncertain environment\,
  such as near humans or far away under human control\, potentially opens m
 yriad uses. Examples include robots preparing the Mars surface for human a
 rrival\; robots for assembly of large space telescopes\; robot helpers for
  the elderly\; robotic search and disposal of war mines. So far advances i
 n this area have been coming slowly\, with a focus on specific tasks rathe
 r than a universal ability typical in nature. Challenges appear both on th
 e robotics side and on the human side: robots have a hard time adjusting t
 o an unstructured environment\, whereas human cognition has serious limits
  in adjusting to robots and grasping complex 2D and 3D motion tasks. As a 
 result\, applications where robots operate near humans – or far away und
 er their control – are exceedingly rare. The way out of this impasse is 
 to supply the robot with whole-body sensing - an ability to sense surround
 ing objects at the robot’s whole body - and algorithms capable of utiliz
 ing these data in real-time. This calls for large-area flexible sensing ar
 rays - sensitive skin covering the whole robot body akin to the skin cover
 ing the human body. Whole-body sensing brings interesting\, even unexpecte
 d\, properties: powerful robots become inherently safe\; human operators c
 an move them fast\, with “natural” speeds\; robot motion strategies ex
 ceed human spatial reasoning skills\; it becomes realistic to utilize the 
 natural synergy of human-robot teams and allow a mix of supervised and uns
 upervised robot operation. We will review the cognitive science\, mathemat
 ical\, algorithmic\, and hardware (materials\, electronics\, computing) is
 sues involved in realizing such systems.\n\nSpeaker(s): Vladimir\, \n\nVir
 tual: https://events.vtools.ieee.org/m/318482
LOCATION:Virtual: https://events.vtools.ieee.org/m/318482
ORGANIZER:ztaqvi@gmail.com
SEQUENCE:1
SUMMARY:Human-Robot Interaction and Human-Robot Teams: GBS SENSOR WEEK PRES
 ENTATION
URL;VALUE=URI:https://events.vtools.ieee.org/m/318482
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The ability of a robot to operate in an un
 certain environment\, such as near humans or far away under human control\
 , potentially opens myriad uses. Examples include robots preparing the Mar
 s surface for human arrival\; robots for assembly of large space telescope
 s\; robot helpers for the elderly\; robotic search and disposal of war min
 es. So far advances in this area have been coming slowly\, with a focus on
  specific tasks rather than a universal ability typical in nature. Challen
 ges appear both on the robotics side and on the human side: robots have a 
 hard time adjusting to an unstructured environment\, whereas human cogniti
 on has serious limits in adjusting to robots and grasping complex 2D and 3
 D motion tasks. As a result\, applications where robots operate near human
 s &amp;ndash\; or far away under their control &amp;ndash\; are exceedingly rare. 
 The way out of this impasse is to supply the robot with whole-body sensing
  - an ability to sense surrounding objects at the robot&amp;rsquo\;s whole bod
 y - and algorithms capable of utilizing these data in real-time. This call
 s for large-area flexible sensing arrays - sensitive skin covering the who
 le robot body akin to the skin covering the human body. Whole-body sensing
  brings interesting\, even unexpected\, properties: powerful robots become
  inherently safe\; human operators can move them fast\, with &amp;ldquo\;natur
 al&amp;rdquo\; speeds\; robot motion strategies exceed human spatial reasoning
  skills\; it becomes realistic to utilize the natural synergy of human-rob
 ot teams and allow a mix of supervised and unsupervised robot operation. W
 e will review the cognitive science\, mathematical\, algorithmic\, and har
 dware (materials\, electronics\, computing) issues involved in realizing s
 uch systems.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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