Презентация профессора Сколтех Д. Тетерюкова на дискуссионной панели "Мечтают ли предприниматели о роботах-андроидах"

1. Intelligent
Robo,cs
and
Wearables
Dzmitry Tsetserukou
Assistant Professor
Space
Robo*cs
Lab
Wearable
Media
Lab
The best way to predict the future is to
invent it.
Steve Jobs

2. Outline
1. Research Background
2. Teleoperation system TeleTA and robotic
hand ExoPower
3. NaviGoid: Mobile Robot Navigation with
Haptic Vision
4. LinkTouch: Wearable Fingertip Haptic
Device
5. iFeel_IM! Communication system
2

3. Susumu Tachi (born January 1, 1946) is a
professor of Graduate School of Media Design
at Keio University and Professor Emeritus of the
University of Tokyo.
Prof. Tachi is also a Founding Director of the
Robotics Society of Japan (RSJ), a Fellow of the
Society of Instrument and Control Engineers
(SICE) and is the Founding President of the
Virtual Reality Society of Japan (VRSJ).
Invisible
cloaking
Twister
Telesar
IV

6. Teleoperation system TeleTA

7. LinkTouch: true 2D display

8. NAVIgoid
Robot Navigation with High Level of
Immersion

9. Robot motion
control by
torso tilt
Tactile, visual
and auditory
feedback
Mobile Robot
User
wearing
a Belt
Interface
LRF
UHG-08LX
by HOKUYO
Robot-side PC
CPU: Intel
Core i7 640M
(2.8 GHz)
Mem:8GB
Mobile Robot
PeopleBot by
MobileRobots
Belt
Interface
NAVIgoid
User bends
forward
yu
Single
tactor
Vr
Human
Vh
yr
rw
xo
yo
Obstacle
rh
Wall
xr
ro
Flex
sensor
Belt
Interface
xu
0
LRF
(a) Human operator (b) Mobile robot PeopleBot
GOAL:
development a new
type of tactile interface
a n d t e l e p r e s e n c e
robotic system that can
make operator of being
“embodied”.
NOVELTY:
• engaging the user into
teleoperation
• a h i g h l e v e l o f
immersion through
p r o p r i o c e p t i v e
telepresence
• tactile feedback

10. Right Back
Elastic band
User’s waist
Flex sensor I
Flex sensor II
Accelerometer
Flex sensor III
Flex sensor IV
Front
Left
Geomagnetic sensor
ProInterface
Lug
Accelerometer
Contact slider
Flex sensor
Vibration
motor
Holder
The ProInterafce (Proprioception-controlled Interface) detects the trunk
stance through the flex sensors. The tactors vibrate to produce the tactile
stimuli indicating:
Stationary
obstacle
distance
direction
shape
Mo v i n g
obstacle
distance
location
motion
direction

11. Tracking of Moving Obstacle
(a) 226th frame (b) 227th frame (c) 228th frame (d) 229th frame (e) 230th frame
(a) 231th frame (b) 232th frame (c) 233th frame (d) 234th frame (e) 235th frame
: robot, : new detected obstacle, : moving obstacle, : velocity of moving obstacle
• Object is tracked by
T
using KF. x = ( p , v T ) T
= ( p , p ,v ,v
)T
ot ot ot
xt yt xt yt
q (0 I)
0
1
⎛ + Δ
= ⎟⎟⎠
ot ot
ot
⎛
+ ⎟⎟⎠
⎛
=
x 2
+
, N ,(8 t)
1 ⎟⎟⎠
o t q
Δ p v
v
p
v
1
t
vt
ot vt
ot
⎞
⎜⎜⎝
⎞
⎜⎜⎝
⎞
⎜⎜⎝
+
+
～
State vector:
Object motion
model (motion
prediction):
position speed
process noise

13. Cloud swarm robotics

14. LinkTouch

15. [█■ 퐹↓푡 @ 퐹↓푛 ]=[█■ 푆↓12 퐶↓2 &− 푆↓43 퐶↓3 @−
푆↓12 푆↓2 & 푆↓43 푆↓3 ] [█■ 휏↓1 ∕ 푙↓2 @ 휏↓2 ∕ 푙↓5 ]
F
Operation principle of PulseTouch
LinkTouch: true 2D display
Inverted five-bar linkage mechanism
C Fn
Fn
Ft
l1
l3 l4
l2
l5
Motor Faulhaber DC
Motor 0615 4,5 S
Gear Ratio GH Series 06/1
64:1
Encoder HXM3-64
D i m e n s i o n s
(W)×(H)×(D) [mm] 26.1×32×38.5
Link length l1, l2, l3,
l4, l5 [mm] 18, 25, 10, 10,25
Weight [g] 13.5
Normal force [N] 0.58

16. iFeel_IM!
Communication system with rich emotional
and haptic channels

17. iFeel_IM!: communication system with
emotional and haptic channels
The philosophy behind iFeel_IM! (intelligent system for Feeling
enhancement powered by affect sensitive Instant Messenger) is
“I feel [therefore] I am!”
D. Tsetserukou, et al. Enhancing mediated interpersonal communication through affective haptics,
INTETAIN 2009, pp. 246-251.

18. Architecture of iFeel_IM!
interface of Affect
Analysis Model
chat text
3D world Second Life
Web-based
emotion:
intensity
PC of each user
Haptic Devices
Controller
HaptiTemper and HaptiShiver
Chat
log file
D/A
Driver
box
HaptiHeart HaptiHug HaptiTickler HaptiBatterfly

19. Affect Analysis Model: recognition of emotions from text
Sentence
I stage
Symbolic cue analysis module
Test for emoticons, abbreviations,
acronyms, interjections, “?” and
“!” marks, repeated punctuation
and capital letters
E“myeost”ic o n o r e m a b b r . “ n o ”
Estimation of
resulting
emotion state
Sentence pre-processing
for
parser
Affect
database
II stage
Syntactical structure
analysis module
Stanford Parser
output of the parser
Parser output
processing
Sentence
annotated by
emotion
III stage
Word-level
analysis module
IV stage
Phrase-level
analysis module
V stage
Sentence-level
analysis module
emotion category: intensity emotion category: intensity
Emotions: Anger, Disgust, Fear, Guilt, Interest, Joy, Sadness, Shame, Surprise

21. Website:
h:ps://sites.google.com/site/dzmitrytsetserukou/
Email:
d.tsetserukou@skoltech.ru

22. Спасибо за внимание!
Thank you for your attention!