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Extracting Planar Kinematic Models Using Interactive Perception

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Unifying Perspectives in Computational and Robot Vision

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 8))

Roboticists are working towards the deployment of autonomous mobile manipulators in unstructured and dynamic environments. Adequate autonomy and competency in unstructured environments would open up a variety of important applications for robotics, ranging from planetary exploration to elder care and from the disposal of improvised explosive devices to flexible manufacturing and construction in collaborationwith human experts. Ongoing research efforts seek to enable the use of autonomous robots for these applications through the development of adequate hardware platforms [10, 26, 31], robust and task-oriented control strategies [19], and new learning frameworks [2, 5, 6, 27].

For unstructured and dynamic environments, it is not possible to provide the robot with a detailed a priori model of the world. Consequently, an autonomous robot has to continuously acquire perceptual information to successfully execute mobility and manipulation tasks [12, 17, 25, 29]. This extraction can be performed most effectively, if it occurs in the context of a specific task.

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Authors and Affiliations

  1. Computer Science Department, University of Massachusetts Amherst, Amherst, MA, USA

    Dov Katz & Oliver Brock

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  1. Dov Katz
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  2. Oliver Brock
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Editors and Affiliations

  1. CSC – CAS/ CVAP, Royal Institute of Technology, 10044, Stockholm, Sweden

    Danica Kragic

  2. Department of Information Technology, Lappeenranta University of Technology, 20, 53851, Lappeenranta, Finland

    Ville Kyrki

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Katz, D., Brock, O. (2008). Extracting Planar Kinematic Models Using Interactive Perception. In: Kragic, D., Kyrki, V. (eds) Unifying Perspectives in Computational and Robot Vision. Lecture Notes in Electrical Engineering, vol 8. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75523-6_2

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  • DOI: https://doi.org/10.1007/978-0-387-75523-6_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-75521-2

  • Online ISBN: 978-0-387-75523-6

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