Learning Humanoid Arm Gestures

@inproceedings{Adams2005LearningHA,
  title={Learning Humanoid Arm Gestures},
  author={B. Adams},
  year={2005}
}
While biological motion control systems are generally simple and robust, their robotic analogs tend to be just the opposite. While function has driven many of the control architectures to date, we feel that a biologically-inspired system for monitoring the energy consumption of virtual muscles can lead to the development of more humanoid motion and gesture. 
4 Citations
Natural Tasking of Robots Based on Human Interaction Cues
  • 5
  • PDF
Auditory robotic tracking of sound sources using hybrid cross-correlation and recurrent networks
  • 25
  • PDF
A scalable approach of message interpretation by demonstrations for multi-robot communication
  • 3
Neural Symbol Grounding
  • 1

References

SHOWING 1-10 OF 16 REFERENCES
Postural primitives: Interactive Behavior for a Humanoid Robot Arm
  • 45
  • PDF
Self-Taught Visually-Guided Pointing for a Humanoid Robot
  • 40
  • PDF
Robot arm control exploiting natural dynamics
  • 155
  • PDF
Inverse kinematics for humanoid robots
  • G. Tevatia, S. Schaal
  • Mathematics, Computer Science
  • Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065)
  • 2000
  • 140
  • PDF
The human arm as a redundant manipulator: The control of path and joint angles
  • 85
  • PDF
Fast and efficient incremental learning for high-dimensional movement systems
  • S. Vijayakumar, S. Schaal
  • Mathematics, Computer Science
  • Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065)
  • 2000
  • 40
  • PDF
Mechanical Impedance of Single- and Multi-Articular Systems
  • 166
Meso: A virtual musculature for humanoid robots
  • Meso: A virtual musculature for humanoid robots
  • 2000
Inverse kinematics for humanoid
  • 1999
...
1
2
...