Reconstruction of articulated objects from point correspondences in a single uncalibrated image
Computer Vision and Image Understanding
Getting Humanoids to Move and Imitate
IEEE Intelligent Systems
The Representation and Recognition of Human Movement Using Temporal Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A robot system that observes and replicates grasping tasks
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Simulating and Generating Motions of Human Figures (Springer Tracts in Advanced Robotics, V. 9)
Simulating and Generating Motions of Human Figures (Springer Tracts in Advanced Robotics, V. 9)
Strike a Pose: Tracking People by Finding Stylized Poses
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Performance animation from low-dimensional control signals
ACM SIGGRAPH 2005 Papers
Human motion estimation from a reduced marker set
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
Estimation of missing markers in human motion capture
The Visual Computer: International Journal of Computer Graphics
Mimetic communication with impedance control for physical human-robot interaction
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
3D human pose from silhouettes by relevance vector regression
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Hierarchical recognition of daily human actions based on continuous hidden Markov models
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Human action learning via hidden Markov model
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Learning and interacting in human-robot domains
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Mimetic Communication Model with Compliant Physical Contact in Human-Humanoid Interaction
International Journal of Robotics Research
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This paper proposes a new mimesis scheme for partial observations, consisting of two strategies; (1) motion understanding from partial observations and (2) proto-symbol-based motion duplication. With the proposed method, whole-body motion imitation is possible even when observing partial motion data. The scheme enables a humanoid robot to imitate a new observed motion by utilizing its own prior knowledge, without learning the demonstrated motion. Evaluation factors, such as inheritance coordinate and matching error, are introduced to evaluate imitation performance. The feasibility of the proposed scheme is demonstrated by an evaluation for a 20-degree-of-freedom humanoid robot.