MaximumOne: An Anthropomorphic Arm with Bio-inspired Control System

In this paper we present our bio-mimetic artificial arm and the simulation results on its low level control system. In accordance with the general view of the Biorobotics field we try to replicate the structure and the functionalities of the natural limb. The control system is organized in a hierarchical way, the low level control reproduces the human spinal reflexes and the high level control the circuits present in the cerebral motor cortex and the cerebellum. Simulation show how the system controls the single joint position reducing the stiffness during the movement.

[1]  S. Grossberg,et al.  Neural dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation. , 1988, Psychological review.

[2]  Blake Hannaford,et al.  Study of human forearm posture maintenance with a physiologically based robotic arm and spinal level neural controller , 1997, Biological Cybernetics.

[3]  Blake Hannaford,et al.  McKibben artificial muscles: pneumatic actuators with biomechanical intelligence , 1999, 1999 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (Cat. No.99TH8399).

[4]  D. Mitchell Wilkes,et al.  ISAC: Foundations in Human-Humanoid Interaction , 2000, IEEE Intell. Syst..

[5]  Mitsuo Kawato,et al.  A computational model of four regions of the cerebellum based on feedback-error learning , 2004, Biological Cybernetics.

[6]  Giorgio Metta,et al.  BabyRoBot: A study in sensori-motor development , 1999 .

[7]  B. Webb,et al.  Can robots make good models of biological behaviour? , 2001, Behavioral and Brain Sciences.

[8]  Eugenio Guglielmelli,et al.  Robot assistants: Applications and evolution , 1996, Robotics Auton. Syst..

[9]  Blake Hannaford,et al.  Measurement and modeling of McKibben pneumatic artificial muscles , 1996, IEEE Trans. Robotics Autom..

[10]  Blake Hannaford,et al.  Accounting for elastic energy storage in McKibben artificial muscle actuators , 2000 .

[11]  Blake Hannaford,et al.  Bio-Inspired Actuation and Sensing , 2001, Auton. Robots.

[12]  Chrystopher L. Nehaniv.  Computation for Metaphors, Analogy, and Agents , 2000, Lecture Notes in Computer Science.

[13]  Y. Omura.  Neuron firing operations by a new basic logic element , 1999, IEEE Electron Device Letters.

[14]  K. N. Jaax,et al.  A Robotic Muscle Spindle: Neuromechanics of Individual and Ensemble Response , 2001 .

[15]  R. Brooks,et al.  The cog project: building a humanoid robot , 1999 .

[16]  Kazuhiko Kawamura,et al.  Reflex Control For An Intelligent Robotic System , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  R. Beer,et al.  Biorobotic approaches to the study of motor systems , 1998, Current Opinion in Neurobiology.

[18]  Stefan Wermter,et al.  Emergent Neural Computational Architectures Based on Neuroscience , 2001, Lecture Notes in Computer Science.

[19]  Heggere S. Ranganath,et al.  Perfect image segmentation using pulse coupled neural networks , 1999, IEEE Trans. Neural Networks.

[20]  Michele Folgheraiter,et al.  Human-Like Hierarchical Reflex Control for an Artificial Hand , 2001 .

[21]  J. Hore,et al.  Cerebellar Dysfunction of Movement and Perception , 1993, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.

[22]  Blake Hannaford,et al.  The anthroform biorobotic arm: A system for the study of spinal circuits , 1995, Annals of Biomedical Engineering.