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Analysis of Motor Synergies Utilization for Optimal Movement Generation for a Human-like Robotic Arm

International Journal of Automation and computing 2013年第6期10卷 515-524页

作者： Kin Chung Denny Fu Yutaka Nakamura Tomoyuki Yamamoto Hiroshi Ishiguro Graduate School of Engineering Science Osaka University

Controlling human-like robots with musculoskeletal structure has been a challenging problem in engineering. In biological studies, motor synergy hypothesis has been proposed as a solution in order to control high degree-of-freedom and complex human body. In this paper, we focus on exploring the applicability of motor synergies in generating goal-directed movements by optimal control in a human-like robotic arm. We focus on three problems： 1） Can motor synergies facilitate the solving of optimal control problem？ 2） What properties should motor synergies have in order to achieve tasks？ 3） How should motor synergies be utilized better？ For the first problem we show that goal-directed movements can be achieved by utilizing motor synergies which have properties of achieving the goals. For the second problem, we testify motor synergies which have different properties and discover that energy efficiency is an important aspect in motor synergies which can also be utilized to achieve goal-directed movements. This discovery also implies that we can obtain motor synergies by other ways rather than from goal-directed optimal control signals. For the third problem, we show that the control complexity can be further reduced by utilizing a subset of motor synergies which are effective to achieve goals.

关键词： Motor synergies optimal control dimension reduction bio-inspired control biomimetics.

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Hardware Neural Networks Controlled MEMS Rotational Actuators and Application to Micro Robot

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Journal of Mechanics Engineering and Automation 2012年第8期2卷 499-506页

作者： Fumio Uchikoba Minami Takato Ken Saito College of Science and Technology Nihon University Funabashi 2748501 Japan

Hardware neural networks controlled rotational actuators and application to an insect type micro robot are reported in this paper. Millimeter size rotational actuators are fabricated by combining MEMS （Micro Electro Mechanical System） technology and shape memory alloy based artificial muscle wires. The actuator is composed of a pair of disk rotators and each rotor is suspended by four artificial muscle wires that are connected to the silicon frame. The rotational motion is generated by flowing the electrical current to each wire successively. Two actuators of different sizes are fabricated. The large actuator shows the displacement of 0.5 mm at the cycle time of 4 s. The small actuator shows 0.3 mm at 2 s. For controlling the actuator, the hardware neural networks are used. The hardware neural networks are composed of electrical circuits imitating cell bodies, excitatory synapses and inhibitory synapses. Four signal ports are extracted from four pairs of excitatory and inhibitory neurons and they are connected to the actuator. The small actuator is applied to the robot and built in the mid body of the robot. The shaft of the actuator is connected to the link mechanisms that transform the rotational motion to the locomotion. The appearance dimensions of the robot are 4.0, 2.7, 2.5 mm width, length and height. The robot performs forward and backward foot step like insects. The speed is 26.4 mm·min^-1 and the stepping width is 0.88 mm. Also, the robot changes the direction by external trigger pulses.

关键词： MEMS micro robot hardware neural networks actuator artificial muscle wire biomimetics.

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