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Safe Supervisory Control of Soft Robot Actuators.
Sabelhaus, Andrew P; Patterson, Zach J; Wertz, Anthony T; Majidi, Carmel.
Afiliación
  • Sabelhaus AP; Department of Mechanical Engineering, Boston University, Boston, Massachusetts, USA.
  • Patterson ZJ; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
  • Wertz AT; Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
  • Majidi C; Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Soft Robot ; 11(4): 561-572, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38324015
ABSTRACT
Although soft robots show safer interactions with their environment than traditional robots, soft mechanisms and actuators still have significant potential for damage or degradation particularly during unmodeled contact. This article introduces a feedback strategy for safe soft actuator operation during control of a soft robot. To do so, a supervisory controller monitors actuator state and dynamically saturates control inputs to avoid conditions that could lead to physical damage. We prove that, under certain conditions, the supervisory controller is stable and verifiably safe. We then demonstrate completely onboard operation of the supervisory controller using a soft thermally actuated robot limb with embedded shape memory alloy actuators and sensing. Tests performed with the supervisor verify its theoretical properties and show stabilization of the robot limb's pose in free space. Finally, experiments show that our approach prevents overheating during contact, including environmental constraints and human touch, or when infeasible motions are commanded. This supervisory controller, and its ability to be executed with completely onboard sensing, has the potential to make soft robot actuators reliable enough for practical use.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Soft Robot Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Soft Robot Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos