Robotic Networks of Soft Linear Actuators
ORAL
Abstract
We consider the design of high elongation pneumatic linear actuators and control methods for robots made up of many of these linear actuators connected at universal joints. The result is a robot with natural compliance that is capable of dramatically changing its size and shape. The actuators are pneumatically powered and composed primarily of flexible but inextensible materials. To control robots formed by connecting many such actuators at universal joints, we derive the differential kinematics that relate changes in the actuator lengths to changes in the positions of the actuator endpoints, and show that controllability of the robot is equivalent to the infinitesimal rigidity of the underlying graph. Control methods are developed for two applications: locomotion and shape morphing. The control algorithm in both cases greedily minimizes an objective function while ensuring physical feasibility. For locomotion, the objective function is the motion of the robot’s center of mass along a prescribed trajectory. For shape morphing, the objective function is the distance between the robot's surface and a target shape represented by a point cloud. We present simulation results for both capabilities.
*This work was supported in part by National Science Foundation Grant 1196335.
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Presenters
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Nathan Usevitch
- Mechanical Engineering, Stanford University