Collaborative Telerobotics
We have designed a series of Java-based prototype CT systems,
including the Tele-Actor and Sharecam/Co-Opticon.
CT raises fundamental new research questions in theory, algorithms,
and system implementation. We are developing
a science base for a scalable IT infrastructure for CT
that will advance human-to-human and human-to-computer remote
communication.
Research in Collaborative Telepresence is sponsored by the National
Science Foundation, Intel Corporation, UC Berkeley's Interactive
University Project, and UC Berkeley's Center for Information
Technology Research in the Interest of Society (CITRIS).
Prototype CT Systems:
Publications:
ShareCam Part I: Interface, System Architecture, and Implementation of
a Collaboratively Controlled Robotic Webcam, Dezhen Song and Ken
Goldberg, IEEE/RSJ
International Conference on Robots and Systems, October 2003.
[0.5MB .pdf]
ShareCam Part II: Approximate and Distributed Algorithms for a
Collaboratively Controlled Robotic Webcam, Dezhen Song, Ken
Goldberg, and Anatoly Pashkevich, IEEE/RSJ
International Conference on Robots and Systems, October 2003.
[0.5MB .pdf]
Exact and Distributed Algorithms for Collaborative Camera
Control,
Collaborative Teleoperation using
Networked Spatial Dynamic Voting,
Collaborative Online Teleoperation with
Spatial Dynamic Voting and a Human ``Tele-Actor''
Collaborative Control of Robot Motion: Robustness to Error
Eigentaste: A Constant Time Collaborative Filtering Algorithm,
We define a ``collaborative telerobot'' as a telerobot simultaneously
controlled by many participants, where input from each participant is
combined to generate a single control stream. Collaborative
Telerobotics (CT) is an innovative approach to distance learning
and telepresence. With CT, participants _collaborate_ rather than
compete for access to valuable resources such as historical and
scientific sites. A scalable infrastructure for CT, compatible with
the Internet, will allow large groups of students or researchers to
simultaneously participate in remote experiences. For example, CT can
allow groups of disadvantaged students to collaboratively steer a
telerobot through a working steelmill in Japan or the Presidential
Inauguration, and allow groups of researchers to collaboratively move
a telerobot around a newly active volcano or a fresh archaeological
site.
Collaborative Frame Selection: Exact and Distributed Algorithms for a
Networked Robotic Camera with Discrete Zoom Levels.
Dezhen Song, A. Frank van der Stappen, and Ken Goldberg.
(In Preparation).
[0.8MB .pdf]
Dezhen Song, A. Frank van der Stappen, and Ken
Goldberg, Fifth Workshop on the Algorithmic Foundations of
Robotics, Nice, France. Dec 2002.
[0.5MB .pdf]
Ken Goldberg, Dezhen Song, and Anthony Levandowski, Proceedings
of the IEEE, Special issue on Networked Robots.
91(3), pp. 430-439, March 2003.
[2.4MB .pdf]
K. Goldberg, D. Song, Y. Khor, D. Pescovitz, A. Levandowski,
J. Himmelstein, J. Shih, A. Ho, E. Paulos, J. Donath,
IEEE International Conference on
Robotics and Automation, May 2002.
[590K .pdf]
Ken Goldberg and Billy Chen,
IEEE/RSJ International Conference on
Robots and Systems, October 2001.
[450K .pdf]
Ken Goldberg, Theresa Roeder, Dhruv Gupta, and Chris Perkins,
Information Retrieval Journal,4(2), pp. 133-151. July 2001.
[800K .pdf]
Contact:
Prof. Ken Goldberg, IEOR and EECS, UC Berkeley, goldberg@ieor.berkeley.edu
Dez Song, IEOR, UC Berkeley, dzsong@ieor.berkeley.edu