collaborative telepresence ken goldberg uc berkeley Students and Colleagues Dezhen Song Anthony Levandowski Annamarie Ho Mikin Faldu Judith Donath David Pescovitz Eric Paulos Supported by the National Science Foundation, Intel, Microsoft, and.

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Transcript collaborative telepresence ken goldberg uc berkeley Students and Colleagues Dezhen Song Anthony Levandowski Annamarie Ho Mikin Faldu Judith Donath David Pescovitz Eric Paulos Supported by the National Science Foundation, Intel, Microsoft, and.

collaborative
telepresence
ken goldberg
uc berkeley
Students and Colleagues
Dezhen Song
Anthony Levandowski
Annamarie Ho
Mikin Faldu
Judith Donath
David Pescovitz
Eric Paulos
Supported by the National Science Foundation,
Intel, Microsoft, and UC Berkeley’s Center for IT
Research in the Interest of Society
alpha laboratory
ieor and eecs, uc berkeley
telerobots
collaborative control
cinematrix
tele-actor
sharecam
Nikola Tesla (1898)
IROBOT:
x10
Internet-based
Recommender Systems
Jester:
Eigentaste Algorithm
(1998)
Collaborative Control
telerobots
collaborative control
cinematrix
tele-actor
sharecam
cinematrix®
R. and L. Carpenter (1992)
Formal model of Cinematrix
Cursor on
Shared Screen:
Audience
(2 groups):
x
y
(x,y)
Simulator:
Audience Diversity:
•
•
•
•
Drop outs
Malicious Agents
Random Agents
Time Delayed Agents
Performance
100%
63%
0%
0%
50%
100%
% drop-outs, % malicious agents
Performance
100%
63%
0%
0%
50%
% random agents
100%
% Time Delayed Agents
telerobots
collaborative control
cinematrix
tele-actor
sharecam
participants
server
tele-actor
Education
Journalism
Entertainment
System Architecture
• Version 3.0
(Jul. 18, 2001)
• Version 9.0
(Jul. 26, 2002)
Spatial Dynamic Voting (SDV) Interface
Version 3.0
•VOTEL: VOTing ELement
•Color = Voter Identity
• 2D Spatial placement
• Dynamic placement
• Voter sees all votels
• 60-second election cycle
• 6-second votel refresh
SDV Interface
Version 5.0
SDV Interface
Version 9.0
Query Types
Navigational
Yes/No
Binary
Field Tests
July 18th, 2001
SF Opera House
5th Annual Webby Awards
Nov. 8, Dec. 19, 2001
UC Berkeley Micro Laboratory
Field Tests
Feb 13, 2002,
SF Exploratorium
Jul. 26, 2002, Michael Eisen's
Biotechnology lab at Lawrence
Berkeley
National
Laboratory
Field Test: Entertainment
The Thin Blue Wire
• Mission:
• A dangerous device was placed somewhere in
the courtyard outside Etcheverry Hall.
• It is set to go off at 3:30pm.
• Tele-Actor Mission:
– Locate the device
– Retrieve and open it
– Cut the Thin Blue Wire
Should we accept this mission?
NO
YES
Where is the device?
Who should we ask for help?
Which tool should we use first?
Should we cut this wire?
NO
YES
Great Work Team !
Research Agenda
•
•
•
•
•
•
Formal Models
Algorithms
Hardware Design
Interface Design
Internet 2
Interactive TV
Votel Pattern Analysis
Leadership Metric
Voter’s ability to anticipate majority opinion
Shall we open the furnace?
60
30
t (sec)
60
30
t (sec)
ti
Ii
T
1 If vote is in selected goal region
Ii  
otherwise
0
Leadership Metric
Voter’s ability to anticipate majority opinion
60
30
ti
55
I i
 .92
T
60
Shall we open the furnace?
ti
32
I i
 .53
T
60
t (sec)
Hardware Design
Experience Design Studio Course
Pasadena Art Center College of Design
Steve Montgomery, Ken Goldberg, Brenda Laurel
Low Latency Video Broadcasting
Windows Media Encoder 7.1
MPEG-4 Compression
Internet 2
telerobots
collaborative control
cinematrix
tele-actor
sharecam
sharecam
Example input: 7 requested frames:
One Optimal Frame
ShareCam Problem:
Given n requests, find optimal frame
telerobots
collaborative control
cinematrix
tele-actor
sharecam
[email protected]
www.ieor.berkeley.edu/~goldberg
Challenging Fitts’ Law
"The problem is to find a form of association which will defend and
protect with the whole common force the person and goods of each
associate, and in which each, while uniting himself with all, may
still obey himself alone, and remain as free as before."
- Jean Jacques Rousseau, The Social Contract, 1762
Simulating Needle Insertion
and Radioactive Seed Implantation
for Prostate Brachytherapy
Group Dynamics
• Pressures toward Uniformity
– Bandwagon Effects
– Underdog Effects
• Scoring metric based on leadership
Differential Games – joint actions on common
state variables with payoff values
– Nash equilibrium: when no player would
benefit from a change in strategy (control)
J u1 ,..., u n  
1

t1
t0
f 1 t , x1 t ,..., xn t , u1 t ,..., u n t dt

J
n
u1 ,..., un   t
t1
f
n
t , x1 t ,..., xn t , u1 t ,..., un t dt
0
subject to : xit   g i t , x1 t ,..., xn t , u1 t ,..., u n t 
: xi t 0   xi 0 , xi ti  free, i  1,2,..., n