Dynamic Control of Soft Robots Interacting with the Environment

• Main Authors: Della Santina, Cosimo (Author), Bicchi, Antonio (Author), Rus, Daniela L (Contributor), Katzschmann, Robert Kevin (Contributor)
• Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers (IEEE), 2018-05-30T18:04:32Z.
• Subjects: Article
• Online Access: Get fulltext

Despite the emergence of many soft-bodied robotic systems, model-based feedback control has remained an open challenge. This is largely due to the intrinsic difficulties in designing controllers for systems with infinite dimensions. In this paper we propose an alternative formulation of the soft robot dynamics which connects the robot's behavior with the one of a rigid bodied robot with elasticity in the joints. The matching between the two system is exact under the common hypothesis of Piecewise Constant Curvature. Based on this connection we introduce two control architectures, with the aim of achieving accurate curvature control and Cartesian regulation of the robot's impedance, respectively. The curvature controller accounts for the natural softness of the system, while the Cartesian controller adapts the impedance of the end effector for interactions with an unstructured environment. This work proposes the first closed loop dynamic controller for a continuous soft robot. The controllers are validated and evaluated on a physical soft robot capable of planar manipulation.
National Science Foundation (U.S.) (Grant NSF 1117178)
National Science Foundation (U.S.) (Grant NSF IIS1226883)
National Science Foundation (U.S.) (Grant NSF CCF1138967)
Horizon 2020 Framework Programme (European Commission) (Grant 645599)