Soft Robotics · 2017 · 159 citations · 21 references
EngineeringMechanical EngineeringRobotics EngineeringRobot DesignRoboticsSoft RoboticsPneumatic ActuationPneumatic ActuatorsPneumatic SystemsRobot ManipulatorsSoft ActuatorsSoft Robot DesignEnd-effector PositioningExperimental CharacterizationHuman-robot Physical InteractionNeural Network ModelingPhysical Human-robot Interaction SafetyPneumatic Soft ActuatorsSoft Pneumatic ActuatorsVariable Stiffness Pneumatic Actuators
Soft robot arms possess unique capabilities when it comes to adaptability, flexibility, and dexterity. In addition, soft systems that are pneumatically actuated can claim high power-to-weight ratio. One of the main drawbacks of pneumatically actuated soft arms is that their stiffness cannot be varied independently from their end-effector position in space. The novel robot arm physical design presented in this article successfully decouples its end-effector positioning from its stiffness. An experimental characterization of this ability is coupled with a mathematical analysis. The arm combines the light weight, high payload to weight ratio and robustness of pneumatic actuation with the adaptability and versatility of variable stiffness. Light weight is a vital component of the inherent safety approach to physical human-robot interaction. To characterize the arm, a neural network analysis of the curvature of the arm for different input pressures is performed. The curvature-pressure relationship is also characterized experimentally.
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A general regression neural network
Donald F. Specht · IEEE Transactions on Neural Networks · 1991 · 4.5K citations