Advances in robot control : from everyday physics to human-like movements
This volume provides a unique collection of papers written in honor of the 70th birthday of Suguru Arimoto who has long been recognized as a pioneer in the field of robot control. A variety of his research is reflected in this book, which includes contributions from leading experts in the field, who...
Enregistré dans:
| Andre forfattere: | , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances in robot control, from everyday physics to human-like movements, Sadao Kawamura, Mikhail Svinin (eds.), Berlin, Springer, 2006, 1 vol. (XXXII-341 p.), 3-540-37346-2 |
Indholdsfortegnelse:
- Human Robotics: A Vision and A Dream Human Robotics: A Vision and A Dream From Everyday Physics to Robot Control Natural Motion and Singularity-Consistent Inversion of Robot Manipulators Approximate Jacobian Control for Robot Manipulators Adaptive Visual Servoing of Robot Manipulators Orthogonalization Principle for Dynamic Visual Servoing of Constrained Robot Manipulators Passivity-Based Control of Multi-Agent Systems Navigation Functions for Dynamical, Nonholonomically Constrained Mechanical Systems Planning and Control of Robot Motion Based on Time-Scale Transformation From Robot Control to Human-Like Movements Modularity, Synchronization, and What Robotics May Yet Learn from the Brain Force Control with A Muscle-Activated Endoskeleton On Dynamic Control Mechanisms of Redundant Human Musculo-Skeletal System Principle of Superposition in Human Prehension Motion Planning of Human-Like Movements in the Manipulation of Flexible Objects Haptic Feedback Enhancement Through Adaptive Force Scaling: Theory and Experiment Learning to Dynamically Manipulate: A Table Tennis Robot Controls a Ball and Rallies with a Human Being