BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250110T023302Z
LOCATION:Hall C\, C Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241206T160000
DTEND;TZID=Asia/Tokyo:20241206T180000
UID:siggraphasia_SIGGRAPH Asia 2024_sess208_real_134@linklings.com
SUMMARY:RobotSketch: A Real-Time Live Showcase of Superfast Design of Legg
 ed Robots
DESCRIPTION:Key Events, Real-Time Live!\n\nJoon Hyub Lee, Hyunsik Oh, Junw
 oo Yoon, Seung-Jun Lee, Taegyu Jin, Jemin Hwangbo, and Seok-Hyung Bae (Kor
 ea Advanced Institute of Science and Technology (KAIST))\n\nSoon, many rob
 ots equipped with AI capable of providing valuable services will appear in
  people’s lives, much like the Cambrian explosion, but for robots. However
 , until now, robots have been developed primarily from a technical perspec
 tive, such as sensing, locomotion, and manipulation, but to become truly s
 uccessful products, they will require a proper product design process, sim
 ilar to that of the automotive industry.\n\nWith RobotSketch, we show that
  such is possible for the robotics industry and highlight the growing impo
 rtance of future-oriented robot design tools. These new tools can help rob
 ot designers explore and develop a wide range of alternative shapes, struc
 tures, and movements of robots in a short period during the early stages o
 f design, and enhance the services and experiences that the robots can off
 er.\n\nRobotSketch has been made possible by the recent development of thr
 ee key technologies. First, a 3D sketching technology that enables the qui
 ck and easy creation of shapes and structures of robots using intuitive pe
 n and multi-touch gestures. Second, a VR technology that enables the use o
 f a tablet device as a transparent window for 3D sketching in an immersive
  workspace. Third, an AI technology that enables the fluent locomotion ski
 lls of robots through reinforcement learning in a physics simulation.\n\nR
 egistration Category: Enhanced Access, Full Access, Full Access Supporter\
 n\nLanguage Format: English Language\n\nSession Chair: Takahito Tejima (Po
 lyphony Digital Inc.)
URL:https://asia.siggraph.org/2024/program/?id=real_134&sess=sess208
END:VEVENT
END:VCALENDAR