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IEEE ICRA 2002 Workshop on Educational Applicatons of Online Robots

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Robotics Science underpins these possibilities. ... Online robot portal; online science programme. Address the problems. Conclusions ... – PowerPoint PPT presentation

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Title: IEEE ICRA 2002 Workshop on Educational Applicatons of Online Robots


1
IEEE ICRA 2002Workshop on Educational
Applicatons of Online Robots
  • Summary Conclusions by Gerard McKee,
    University of Reading, UK

2
Workshop on Educational Applications of Online
Robots
  • Chairs
  • Matt Stein and Ken Goldberg
  • Presentations, Open Discussion and Demonstrations

3
Presentations am
  • Multimedia Technology for Online Robot Projects,
  • Gerard McKee, The University of Reading, UK
  • Remote Laboratory Access Through The Internet
  • Ilhan Konokseven Aydan Erkmen, Middle East
    Technical University
  • Collaborative Online Teleoperation and the
    Tele-Actor for Distance Education,
  • Ken Goldberg, Berkeley
  • Environment for online experimentation and
    analysis,
  • Yves Piquet, Swiss Federal Institute of Technology

4
Presentations pm
  • A Statistical Approach to Tracking Multiple
    Moving People with a Mobile Robot and its
    Application to Improve Tele-Presence
  • Wolfram Burgard, University of Freiburg
  • Supermedia Enhanced Internet Robots
  • Imad Elhajj Ning Xi, Michigan State University
  • Networked Robotics/Mechatronics through the
    Intelligent Space
  • Hideki Hashimoto, University of Tokyo
  • EventScope A Telescience Interface for
    Internet-Based Education,
  • Peter Coppin, Michael Wagner, CMU.

5
Demonstrations
  • EventScope (science experiments)
  • SysQuake Remote (automatic control)
  • plus video sequences.

6
Open Discussion
  • Five Questions
  • What is there to be learned from an Online Robot
    experience?
  • How can interfaces and systems be designed to
    foster this learning?
  • What are the best educational applications/context
    s?
  • How should student experience be evaluated?
  • Can a site be designed to lead students through
    an experiment and quiz afterward?

7
What is there to be learned from an Online Robot
experience?
  • I.e. How can online robots contribute to an
    educational experience?
  • It is a thing of interest in itself.
  • It is a tool, a medium for exploration.
  • It allows us to place the student in a remote
    environment.
  • A technology-centred equivalent of the field
    trip.
  • It has a novelty value.
  • What happens when the novelty wears off? How to
    we retain the interest of the student.

8
How can interfaces and systems be designed to
foster this learning?
  • Lively/interactive/animated interfaces
  • exploit multimedia technology
  • video streaming novel, good quality graphics (3D
    models)
  • intuitive, easy to use.
  • The scenarios we create
  • They must be relevant and interesting.
  • These must capture and carry the audience.
  • They must engage the student.
  • They must retain the students interest.

9
What are the best educational applications/context
s?
  • Depends on the educational context
  • robotics science (sensors and controls,
    architectures, algorithms)
  • science exploration (physics, chemistry,
    geography, biology space programmes (Mars))
  • work crews (multi-skill tasks, automation
    industrial, space and home applications)
  • So far, limited sets of contexts
  • We need to broaden the range of applications?
  • Educational target
  • kindergarten, school, college, undergraduate,
    graduate, and continuing education, the general
    public

10
How should student experience be evaluated?
  • Educational merit for students
  • Updating traditional methods (submission/demonstra
    tion of work)
  • Incorporating new methods (online)
  • Developing transferable skills (presentation of
    work)
  • Exploring opportunities (track student
    participation)
  • Maintaining integrity/security (copying
    surrogate participation)
  • Quality of the experience
  • Explicit Questionnaires (online, offline, tutor
    follow-up)
  • Implicit Monitor usage of system and the support
    environment (e.g. group communication virtual
    communities online blackboard systems?)

11
Can a site be designed to lead students through
an experiment and quiz afterward?
  • Can we do this? Yes.
  • Will it be interesting/effective/relevant?
  • What are the characteristics of
    interesting/challenging scenarios?
  • The learning metaphor
  • rote learning Vs open, learner-centred, etc.
  • How do we control the direction/progression of
    learning?
  • Is this important? Where is it important?

12
Broad conclusion
  • There is considerable depth to the field. There
    is much to be discovered?
  • There are many issues, raising lots of problems.
  • There is no one answer, but there are common
    frameworks that can be established.

13
Online Robots are An important Learning Technology
  • Robot systems are instruments that help us
  • understand our environment (Science and
    Exploration)
  • manipulate our environment (Work crews and lab.
    Assistants)
  • Robotics Science underpins these possibilities.
  • The Internet and Multimedia technology has
    created the possibility for a new kind of
    learning environment.
  • Online Robots help us bring to these environments
    an active, open-ended learning experience.
  • Online Robot are an important learning
    technology.
  • Conceptualised as follows

14
Online Robots are an important learning technology
15
Frameworks
  • Online Robot systems offer interactive control of
    remote (real or simulated) robotic artifacts,
    either
  • directly via manual controls
  • or indirectly via modelling interfaces, simulated
    environments and/or educational scenarios

16
Frameworks
17
Key problems can be identified
  • The retention problem
  • getting and maintaining interest
  • The reset problem.
  • The scenario problem.
  • The assessment problem.
  • The security problem
  • access and malicious intent
  • The audience problem

18
The Reset Problem
  • Resetting the environment to a defined state for
    the next user.
  • Laboratory systems
  • project development and demonstration
  • Robotic laboratory assistants provide one answer
    to this problem
  • Arena/experiment design provides another

19
The Scenario Problem
  • Developing challenging/interesting educational
    scenarios.
  • What are good, interesting, challenging
    scenarios?
  • Targets of control?
  • One or more humans.
  • Robot (toys), motors controls
  • Simulations/models
  • Integration of simulations/models with real robot
    systems.
  • Method of control
  • voting, parameter sets, manual driving, scripts,
    intelligent control (architectures, sensors and
    controls, algorithms), topical module
  • Author of control - topic/user-led. Open/closed

20
The Assessment Problem
  • Immediate - automated assessment-as-you-go.
  • Off-line delivery submit reports, code, demos.
  • Transferable skills - e.g. presentation skills.
  • Present material via the web.
  • Acknowledging receipt/assessment of work.
  • Providing students with the tools to return work.
  • Annotation scripts, WWW pages, etc.

21
The Security Problem
  • Avoiding cheating.
  • Avoiding surrogates.
  • Controlling access.
  • Defending against malicious intent.
  • robots
  • web sites

22
The Audience Problem
  • Who is the target audience?
  • kindergarten, college level students
  • undergraduate, graduate level
  • continuing education and professional development
  • general members of the public
  • Getting teachers on board.
  • Educational kits (projects, educational
    materials, challenges)

23
Additional Issues
  • Re-use of research facilities.
  • Turning existing research environments into
    educational tools. Reuse. After-life funding.
  • Quality of service
  • Delivering an appropriate server to the user!
    Bandwidth problems, networking problems,
    time-delays.
  • Education as an application of robotics
    technology.
  • Enhancing the presence within the remote
    environment. A target application of robotics
    techniques.

24
Action Points
  • Encourage the development of online robot
    systems
  • Educational Challenges
  • Online scenarios
  • Create online environments
  • Provide forums for collecting experience/practice/
    facilities
  • WWW sites
  • Workshops Conferences
  • Publications (books, special issues)
  • Online robot portal online science programme.
  • Address the problems

25
Conclusions
  • There exists educational technologies that can be
    brought to bear on the educational application of
    online robots.
  • There is much that online robots can bring to
    this educational environment.
  • There is considerable scope for creating
    robot-centred learning technologies.
  • Presentation application are important.
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