Hochschulschrift
Joint trajectory generation and high-level control for patient-tailored robotic gait rehabilitation
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
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9783844053661
3844053662
- Dimensions
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21 cm, 389 g
- Extent
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VI, 245 Seiten
- Language
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Englisch
- Notes
-
Illustrationen
Universität Bremen, Dissertation, 2017
- Bibliographic citation
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Publication series of the Institute of Automation, University of Bremen / 3 / Institut für Automatisierungstechnik ; 11, Ser. 3
- Keyword
-
Gehen
Rehabilitatives Training
Unterstützungstechnologie
Robotik
Industrieroboter
Roboter
Robotik
Benutzerfreundlichkeit
Mensch-Maschine-Kommunikation
- Event
-
Veröffentlichung
- (where)
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Aachen
- (who)
-
Shaker Verlag
- (when)
-
2017
- Creator
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Focke Martinez, Santiago
- Contributor
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 2:03 PM CEST
Data provider
This object is provided by:
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Object type
- Hochschulschrift
Associated
- Focke Martinez, Santiago
- Shaker Verlag
- Shaker Verlag
Time of origin
- 2017
Other Objects (12)
Joint Trajectory Generation and High-level Control for Patient-tailored Robotic Gait Rehabilitation
Unraveling the mechanisms of high-level gait control in functional gait disorders
Fast trajectory planning frameworks for robotic systems
Gait event recognition for triggering functional electrical stimulation during robotic gait training
Learning high-level robotic manipulation actions with visual predictive model
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis
Multi-objective constrained robotic trajectory planning and control
The effectiveness of robotic-assisted gait training for paediatric gait disorders: systematic review
High-level gait and balance disorders in the elderly: a midbrain disease?
Gait training using a robotic hip exoskeleton improves metabolic gait efficiency in the elderly
Prediction of gait recovery in spinal cord injured individuals trained with robotic gait orthosis
Probabilistic model for high-level intention estimation and trajectory prediction in urban environments
Joint Trajectory Generation and High-level Control for Patient-tailored Robotic Gait Rehabilitation
Unraveling the mechanisms of high-level gait control in functional gait disorders
Fast trajectory planning frameworks for robotic systems
Gait event recognition for triggering functional electrical stimulation during robotic gait training
Learning high-level robotic manipulation actions with visual predictive model
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis
Multi-objective constrained robotic trajectory planning and control
The effectiveness of robotic-assisted gait training for paediatric gait disorders: systematic review
High-level gait and balance disorders in the elderly: a midbrain disease?
Gait training using a robotic hip exoskeleton improves metabolic gait efficiency in the elderly
Prediction of gait recovery in spinal cord injured individuals trained with robotic gait orthosis
Probabilistic model for high-level intention estimation and trajectory prediction in urban environments
Joint Trajectory Generation and High-level Control for Patient-tailored Robotic Gait Rehabilitation
Unraveling the mechanisms of high-level gait control in functional gait disorders
Fast trajectory planning frameworks for robotic systems
Gait event recognition for triggering functional electrical stimulation during robotic gait training
Learning high-level robotic manipulation actions with visual predictive model
Benchmarking Foot Trajectory Estimation Methods for Mobile Gait Analysis
Multi-objective constrained robotic trajectory planning and control
The effectiveness of robotic-assisted gait training for paediatric gait disorders: systematic review
High-level gait and balance disorders in the elderly: a midbrain disease?
Gait training using a robotic hip exoskeleton improves metabolic gait efficiency in the elderly
Prediction of gait recovery in spinal cord injured individuals trained with robotic gait orthosis