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:20260817T171533Z
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:Joon Hyub Lee, Hyunsik Oh, Junwoo Yoon, Seung-Jun Lee, Taegyu 
 Jin, Jemin Hwangbo, and Seok-Hyung Bae (Korea Advanced Institute of Scienc
 e and Technology (KAIST))\n\nSoon, many robots 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 d
 eveloped primarily from a technical perspective, such as sensing, locomoti
 on, and manipulation, but to become truly successful products, they will r
 equire a proper product design process, similar to that of the automotive 
 industry.\n\nWith RobotSketch, we show that such is possible for the robot
 ics industry and highlight the growing importance of future-oriented robot
  design tools. These new tools can help robot designers explore and develo
 p a wide range of alternative shapes, structures, and movements of robots 
 in a short period during the early stages of design, and enhance the servi
 ces and experiences that the robots can offer.\n\nRobotSketch has been mad
 e possible by the recent development of three key technologies. First, a 3
 D sketching technology that enables the quick and easy creation of shapes 
 and structures of robots using intuitive pen and multi-touch gestures. Sec
 ond, a VR technology that enables the use of a tablet device as a transpar
 ent window for 3D sketching in an immersive workspace. Third, an AI techno
 logy that enables the fluent locomotion skills of robots through reinforce
 ment learning in a physics simulation.\n\nRegistration Category: Enhanced 
 Access, Full Access, Full Access Supporter\n\nLanguage Format: English Lan
 guage\n\nSession Chair: Takahito Tejima (Polyphony Digital Inc.)\n\n
URL:https://asia.siggraph.org/2024/program/?id=real_134&sess=sess208
END:VEVENT
END:VCALENDAR
