Skip to main navigation
Skip to search
Skip to main content
Technical University of Munich Home
Help & FAQ
Link opens in a new tab
English
Deutsch
Search content at Technical University of Munich
Home
Profiles
Research units
Projects
Research output
Equipment
Prizes
Activities
Press/Media
Computationally Efficient Rigid-Body Gaussian Process for Motion Dynamics
Muriel Lang
,
Sandra Hirche
Chair of Information-oriented Control
Technical University of Munich
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Computationally Efficient Rigid-Body Gaussian Process for Motion Dynamics'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Gaussian Process
100%
Computational Efficiency
100%
Rigid Body
100%
Motion Dynamics
100%
Covariance Function
16%
Performance Efficiency
16%
Euler Angles
16%
Human Motion Data
16%
Rigid Motion
16%
Significant Benefit
16%
Rigid Body Motion
16%
Large Rotation
16%
Special Euclidean Group SE(3)
16%
SE(3)
16%
Pseudovector
16%
Axis-angle
16%
Process Estimation
16%
Mean Function
16%
Inaccurate Predictions
16%
Non-Euclidean
16%
Common Procedures
16%
Input Domain
16%
Alternate Versions
16%
Engineering
Dynamic Motion
100%
Gaussians
100%
Rigid Structure
100%
Computational Efficiency
33%
Process Result
16%
Rigid Body Motion
16%
Motion Data
16%
Axis Angle
16%
Covariance Function
16%
Euler Angle
16%
Human Motions
16%
Data Input
16%
Mathematics
Gaussian Process
100%
Rigid Body
100%
Covariance Function
16%
Rigid Motion
16%
Euclidean Group
16%
Pseudovector
16%
Euler Angle
16%
Data Input
16%
Computer Science
Computational Efficiency
100%
Estimation Process
50%
Human Motions
50%
Rigid Motion
50%
Covariance Function
50%