Abstract

We present an inflatable soft robotic arm made of fabric that leverages state-of-the-art manufacturing techniques, leading to a robust and reliable manipulator. Three bellow-type actuators are used to control two rotational degrees of freedom, as well as the joint stiffness that is coupled to a longitudinal elongation of the movable link used to grasp objects. The design is motivated by a safety analysis based on first principles. It shows that the interaction forces during an unexpected collision are primarily caused by the attached payload mass, but can be reduced by a lightweight design of the robot arm. A control allocation strategy is employed that simplifies the modeling and control of the robot arm and we show that a particular property of the allocation strategy ensures equal usage of the actuators and valves. The modeling and control approach systematically incorporates the effect of changing joint stiffness and the presence of a payload mass. An investigation of the valve flow capacity reveals that a proper timescale separation between the pressure and arm dynamics is only given for sufficient flow capacity. Otherwise, the applied cascaded control approach can introduce oscillatory behavior, degrading the overall control performance. A closed form feed forward strategy is derived that compensates errors induced by the longitudinal elongation of the movable link and allows the realization of different object manipulation applications. In one of the applications, the robot arm hands an object over to a human, emphasizing the safety aspect of the soft robotic system. Thereby, the intrinsic compliance of the robot arm is leveraged to detect the time when the robot should release the object.

Highlights

  • Published: 11 November 2021Soft robotic manipulators combine a number of properties that make them interesting for close collaboration with humans: They are lightweight and compliant, which reduces the risk of injury for humans in the case of an unexpected collision

  • The modeling approach captures the fundamental dynamics of the system that are strongly dependent on the adjustable joint stiffness and a possible payload mass attached to the tip of the system

  • The results show that the dynamical effects of changing joint stiffness or an attached payload mass are sufficiently compensated by the controller proposed, leading to a similar angular response for the different cases considered

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Summary

Introduction

Soft robotic manipulators combine a number of properties that make them interesting for close collaboration with humans: They are lightweight and compliant, which reduces the risk of injury for humans in the case of an unexpected collision. We present an inflatable robot arm for object manipulation made from fabric and actuated by three bellow-type actuators (see Figure 1). The modeling approach captures the fundamental dynamics of the system that are strongly dependent on the adjustable joint stiffness and a possible payload mass attached to the tip of the system. Both effects are incorporated in the parametric model and leveraged by the control approach.

Related Work
Contribution
Outline
Safety Considerations
Design Considerations
Mechanical System
Pneumatic System
Electronic System
Modeling
End Effector Parametrization
Control Allocation
Arm Dynamics
Model Limitations
Longitudinal Movement
Control
Sensory Feedback
Feedback Control
Feed Forward Control
Applications
Pick and Place Application
Collaborative Application with Human
Findings
Conclusions

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