Searching a scalable approach to cerebellar based control

Applied Intelligence

Volumn 17, Issue 1, 2002, Pages 11-33

  Peters, Jan ^a   Van der Smagt, Patrick ^b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b GERMAN AEROSPACE CENTER DLR   (Germany)

Author keywords

Computational cerebellar models; Neural networks; Robot arm control; Robot dynamics

Indexed keywords

CONTROL SYSTEM SYNTHESIS; MATHEMATICAL MODELS; MOTION CONTROL; NEURAL NETWORKS; ROBOT LEARNING; ROBOTIC ARMS; ROBOTICS;

COMPUTATIONAL CEREBELLAR MODELS; ROBOT ARM CONTROL; ROBOT DYNAMICS;

ARTIFICIAL INTELLIGENCE;

EID: 0036639369     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1015775631060     Document Type: Article

References (80)

1. Stability and robustness of PID feedback control for robot manipulators of sensory capability
2. Measurement and modeling of McKibben pneumatic artificial muscles
3. Leraning trajectory and force control of an artificial muscle arm by parallel-hierarchical neural network model
4. Neural network control of a pneumatic robot arm
5. Analysis and control of a rubbertuator arm
6. Neural network based control schemes for flexible-link manipulators: Simulations and experiments
7. Kinematic and electromyographic responses to perturbation of a rapid grasp
8. Is the cerebellum a Smith predictor?
9. Mechanical impedance of single- and multi-articular systems
10. On the adaptive control of robot manipulators
11. The cerebellum
12. Clinical evidence for functional compartmentalization of the cerebellum
13. The cerebellum of man
14. Cerebellar agenesis
15. Some quantitive aspects of cerebellar anatomy as guide to speculation on cerebellar functions
16. A dynamical system view of cerebellar function
17. Habituation rules for a theory of the cerebellar cortex
18. Contribution of passive tissues to the intersegmental moments of the hip
19. A model of lower extremity muscular anatomy
20. The passive elastic moment at the knee and its influence on human gait
21. Human ankle joint stiffness over the full range of muscle activation levels
22. A three-dimensional muscle model: A quantified relation between form and function of skeletal muscles
23. Neural mechanisms of motor equivalence and goal achievement
24. A new physiological concept on cerebellum
25. Multiple paired forward and inverse models for motor control
26. Internal models in the cerebellum
27. Morphological observations on the cerebellar cortex
28. Functional interpretation of cerebellar histology
29. A theory of cerebellar cortex
30. A theory of cerebellar function
31. The role of the cerebellum in motor control and perception
32. The cerebellum as computed torque model
33. Climbing fiber induced depression of both mossy fiber responsiveness and glutamate sensitivity of cerebellar Purkinje cells
34. A synaptic model of memory: Long-term potentiation in the hippocampus
35. Long-term depression of excitatory synaptic transmission and its relationship to long-term potentiation
36. A new functional role for cerebellar long term depression
37. On climbing fiber signals and their consequence(s)
38. Neural organization: Structure, function, and dynamics
39. A computational model of four regions of the cerebellum based on feedback-error learning
40. Purkinje cell activity during learning
41. Cerebellum and motor control
42. Feedback-error-learning neural network for supervised motor learning
43. A neural model of cerebellar learning for arm movement control: Cortico-spino-cerebellar dynamics
44. Cooperative control of limb movements by the motor, brainstem, and cerebellum
45. Models of the cerebellum and motor learning
46. Cerebellar control of robot arms
47. Models of the cerebellum and motor learning
48. Intelligent motion control with an artificial cerebellum
49. Computational models of the cerebellum in the adaptive control of movements
50. CMAC: An associative neural network alternative to backpropagation
51. A real-time implementation of a neural-network controller for industrial robotics
52. Practical demonstration of a learning control system for a five axis industrial robot
53. Dynamic balance of a biped walking robot
54. BOXES: An experiment in adaptive control
55. A comparison of five algorithms for the training of CMAC memories for learning control systems
56. Optimized weight smoothing for CMAC neural networks
57. An adaptive sensorimotor network simulation inspired by the anatomy and physiology of the cerebellum
58. A predictive switching model of cerebellar movement control
59. Cerebellar learning for control of a two-link arm in muscle space
60. A model of cerebellar learning for control of arm movements using muscle synergies
61. A computational model of cerebellar learning for limb control
62. Learning to reach via corrective movements
63. A cerebellar model of timing and prediction in the control of reaching
64. A real-time model of the human knee for a virtual orthopaedic trainer
65. Benchmarking cerebellar control
66. Towards a new robot generation for space, terrestrial, and medical applications