[go: up one dir, main page]

Warren Jr, 1990 - Google Patents

The perception-action coupling

Warren Jr, 1990

View PDF
Document ID
13625684507198283011
Author
Warren Jr W
Publication year
Publication venue
Sensory-Motor Organizations and Development in Infancy and Early Childhood: Proceedings of the NATO Advanced Research Workshop on Sensory-Motor Organizations and Development in Infancy and Early Childhood Chateu de Rosey, France

External Links

Snippet

Behavior is organized into stable action modes with qualitative transitions between them. An ecological approach attempts to account for these patterns in terms of physical and informational constraints, such as attractors in the underlying dynamics of action and …
Continue reading at www.researchgate.net (PDF) (other versions)

Similar Documents

Publication Publication Date Title
Warren Jr The perception-action coupling
Shadmehr et al. Biological learning and control: how the brain builds representations, predicts events, and makes decisions
Yang et al. Learning natural locomotion behaviors for humanoid robots using human bias
Seyfarth et al. A movement criterion for running
Ruppert et al. Learning plastic matching of robot dynamics in closed-loop central pattern generators
Shafiee et al. Manyquadrupeds: Learning a single locomotion policy for diverse quadruped robots
Iida et al. Sensing through body dynamics
Iida et al. Biologically inspired robotics
Saranli Dynamic locomotion with a hexapod robot
Bellegarda et al. Visual CPG-RL: Learning central pattern generators for visually-guided quadruped locomotion
Shafiee et al. Viability leads to the emergence of gait transitions in learning agile quadrupedal locomotion on challenging terrains
US6172941B1 (en) Method to generate self-organizing processes in autonomous mechanisms and organisms
Sharbafi et al. Locomotor sub-functions for control of assistive wearable robots
Jakimovski Biologically inspired approaches for locomotion, anomaly detection and reconfiguration for walking robots
Baldini Reservoir computing in robotics: a review
Wei et al. Economical quadrupedal multi-gait locomotion via gait-heuristic reinforcement learning
Shkolnik Sample-based motion planning in high-dimensional and differentially-constrained systems
Rutter et al. Simple muscle models regularize motion in a robotic leg with neurally-based step generation
Kvalheim et al. Templates and anchors
Jorge et al. Reinforcement learning applied to hexapod robot locomotion: an overview
Arena et al. Simple sensors provide inputs for cognitive robots
Paskarbeit Consider the robot-Abstraction of bioinspired leg coordination and its application to a hexapod robot under consideration of technical constraints
Dudenhoeffer et al. Development and implementation of large-scale micro-robotic forces using formation behaviors
Salahshour et al. Allocentric flocking
Noorani et al. Using the adaptive frequency nonlinear oscillator for earning an energy efficient motion pattern in a leg-like stretchable pendulum by exploiting the resonant mode