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Autonomous Object Manipulation Using a Soft Planar Grasping Manipulator.

Robert K Katzschmann1, Andrew D Marchese1, Daniela Rus1

  • 1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology , Cambridge, Massachusetts.

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|September 15, 2016
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Summary
This summary is machine-generated.

This study introduces an autonomous motion planning algorithm for soft robotic manipulators, enabling precise grasp-and-place operations even with uncertain object positions and shapes. The system uses a novel, seamless end effector for reliable manipulation.

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Area of Science:

  • Robotics
  • Autonomous Systems
  • Materials Science

Background:

  • Soft robotic manipulators offer unique advantages in handling delicate or irregularly shaped objects.
  • Existing manipulation systems often struggle with uncertainty in object pose and shape.
  • Seamless end-effector fabrication is crucial for manipulator durability and performance.

Purpose of the Study:

  • To develop an autonomous motion planning algorithm for a soft planar grasping manipulator.
  • To enable reliable grasp-and-place operations despite object position and shape uncertainties.
  • To demonstrate the system's capabilities through experimental validation.

Main Methods:

  • Development of a novel, one-piece end effector using lost-wax casting.
  • Implementation of an autonomous motion planning algorithm.
  • Leveraging manipulator compliance and continuum bending for robust grasping.
  • Experimental validation of the grasp-and-place system.

Main Results:

  • The soft manipulator successfully performed autonomous grasp-and-place operations.
  • The system demonstrated robustness in handling objects with uncertain positions and shapes.
  • The lost-wax casting method resulted in a durable, seamless end effector.
  • Repeatable grasps were achieved by utilizing the manipulator's inherent compliance.

Conclusions:

  • The developed autonomous motion planning algorithm enhances the capabilities of soft manipulators.
  • The novel fabrication method and planning strategy enable reliable manipulation under uncertainty.
  • This work paves the way for more versatile and autonomous soft robotic systems.