Project AMARSI: Adaptive modular architecture for rich motor skills
2010-03-01 – 2014-02-28
- Abstract
Compared to animals and humans, the motor skills of today's robots still must be qualified as poor. Their behavioral repertoire is typically limited to a narrow set of carefully engineered motor patterns that operate a rigid mechanics and lack situated adaptivity, learnability and dynamical fusion of motor primitives into complex, task-oriented be-havioral patterns.
The AMARSi integrated Project aims at a qualitative jump toward biological richness of robotic motor skills. By richness we mean the systemic integration of motor primitives into a large repertoir of mo-tor behavior, ranging across the entire hieracrchy from simple periodic and aperiodic motions to complex, task-oriented interaction sequences between a robot and a human caretaker. To achieve this goal, a number of innovative scientific concepts and interdisciplinary research methods will be implemented
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- Journal Article
- A1
- open access
Frequency modulation of large oscillatory neural networks
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- Miscellaneous
- open access
Robustness: a new SLIP model based criterion for gait transitions in bipedal locomotion
(2014) -
- Journal Article
- A1
- open access
A computational analysis of motor synergies by dynamic response decomposition
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- Conference Paper
- P1
- open access
Terrain classification for a quadruped robot
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- Conference Paper
- C1
- open access
Bio-inspired friction switches: adaptive pulley systems
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- Journal Article
- A1
- open access
MACOP modular architecture with control primitives
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- Conference Paper
- C3
- open access
UGent AMARSi progress
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Synthesis and adaptation of effective motor synergies for the solution of reaching tasks
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Learning a curvature dynamic model of an octopus-inspired soft robot arm using flexure sensors
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Scaling laws in robotics