Stiffness-based modelling of a hydraulically-actuated soft robotics manipulator

This work investigates the applicability of stiffness-based modelling in soft robotics manipulation. The methodology is introduced and applied to model a soft robotics manipulator as single 3d Timoshenko beam element. The model is then utilized to solve the forward kinematics problem for the manipulator. The algorithm is validated comparing the simulated deflection with the deflection of the physical manipulator for two defined pressure sequences. It is shown that the model behaves in a highly similar fashion in comparison to the manipulator. For both trajectories the maximum position error is close to 6 mm while the error in orientation not more than 18°. The methodology as described in this work reveals great applicability to the field of soft robots being limited only by the stiffness matrix assembly for the given system. Implementations of inverse kinematics and the effects of external force applications are effectively integrable in the described theory.

[1]  C. Laschi,et al.  Octopus-inspired sensorimotor control of a multi-arm soft robot , 2012, 2012 IEEE International Conference on Mechatronics and Automation.

[2]  Darwin G. Caldwell,et al.  Learning by imitation with the STIFF-FLOP surgical robot: a biomimetic approach inspired by octopus movements , 2014, ROBIO 2014.

[3]  Christopher D. Rahn,et al.  Geometrically exact dynamic models for soft robotic manipulators , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  Ian D. Walker,et al.  Kinematics and the Implementation of an Elephant's Trunk Manipulator and Other Continuum Style Robots , 2003, J. Field Robotics.

[5]  CianchettiMatteo,et al.  Soft Robotics Technologies to Address Shortcomings in Today's Minimally Invasive Surgery: The STIFF-FLOP Approach , 2014 .

[6]  Gregory S. Chirikjian A continuum approach to hyper-redundant manipulator dynamics , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[7]  Cagdas D. Onal,et al.  Design and control of a soft and continuously deformable 2D robotic manipulation system , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[8]  Kohei Nakajima,et al.  FROM THE OCTOPUS TO SOFT ROBOTS CONTROL: AN OCTOPUS INSPIRED BEHAVIOR CONTROL ARCHITECTURE FOR SOFT ROBOTS , 2012 .

[9]  D. Rus,et al.  Design, fabrication and control of soft robots , 2015, Nature.

[10]  Ian D. Walker,et al.  Practical Kinematics for Real-Time Implementation of Continuum Robots , 2006, IEEE Transactions on Robotics.

[11]  J. N. Reddy,et al.  Relationships between bending solutions of classical and shear deformation beam theories , 1997 .

[12]  Tao Deng,et al.  Visual servo control of cable-driven soft robotic manipulator , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[13]  Robert J. Webster,et al.  Design and Kinematic Modeling of Constant Curvature Continuum Robots: A Review , 2010, Int. J. Robotics Res..

[14]  Gregory S. Chirikjian,et al.  The kinematics of hyper-redundant robot locomotion , 1995, IEEE Trans. Robotics Autom..

[15]  Ian D. Walker,et al.  Soft robotics: Biological inspiration, state of the art, and future research , 2008 .

[16]  J. S. Przemieniecki Theory of matrix structural analysis , 1985 .

[17]  T. Nanayakkara,et al.  Soft Robotics Technologies to Address Shortcomings in Today ’ s Minimally Invasive Surgery : The STIFF-FLOP Approach , 2014 .