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      Geometric constraint-based modeling and analysis of a novel continuum robot with Shape Memory Alloy initiated variable stiffness

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          Abstract

          Continuum robots exhibit promising adaptability and dexterity for soft manipulation due to their intrinsic compliance. However, this compliance may lead to challenges in modeling as well as positioning and loading. In this paper, a virtual work-based static model is established to describe the deformation and mechanics of continuum robots with a generic rod-driven structure, taking the geometric constraint of the drive rods into account. Following this, this paper presents a novel variable stiffness mechanism powered by a set of embedded Shape Memory Alloy (SMA) springs, which can make the drive rods become ‘locked’ on the body structure with different configurations. The resulting effects of variable stiffness are then presented in the static model by introducing tensions of the SMA and friction on the rods. Compared with conventional models, there is no need to predefine the actuation forces of the drive rods; instead, actuation displacements are used in this new mechanism system with stiffness being regulated. As a result, the phenomenon that the continuum robot can exhibit an S-shaped curve when subject to single-directional forces is observed and analyzed. Simulations and experiments demonstrated that the presented mechanism has stiffness variation of over 287% and further demonstrated that the mechanism and its model are achievable with good accuracy, such that the ratio of positioning error is less than 2.23% at the robot end-effector to the robot length.

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          Most cited references49

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          Design and Kinematic Modeling of Constant Curvature Continuum Robots: A Review

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            A novel type of compliant and underactuated robotic hand for dexterous grasping

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              A soft robot that navigates its environment through growth

              Across kingdoms and length scales, certain cells and organisms navigate their environments not through locomotion but through growth. This pattern of movement is found in fungal hyphae, developing neurons, and trailing plants, and is characterized by extension from the tip of the body, length change of hundreds of percent, and active control of growth direction. This results in the abilities to move through tightly constrained environments and form useful three-dimensional structures from the body. We report a class of soft pneumatic robot that is capable of a basic form of this behavior, growing substantially in length from the tip while actively controlling direction using onboard sensing of environmental stimuli; further, the peak rate of lengthening is comparable to rates of animal and robot locomotion. This is enabled by two principles: Pressurization of an inverted thin-walled vessel allows rapid and substantial lengthening of the tip of the robot body, and controlled asymmetric lengthening of the tip allows directional control. Further, we demonstrate the abilities to lengthen through constrained environments by exploiting passive deformations and form three-dimensional structures by lengthening the body of the robot along a path. Our study helps lay the foundation for engineered systems that grow to navigate the environment.
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                Author and article information

                Contributors
                Journal
                The International Journal of Robotics Research
                The International Journal of Robotics Research
                SAGE Publications
                0278-3649
                1741-3176
                December 2020
                April 13 2020
                December 2020
                : 39
                : 14
                : 1620-1634
                Affiliations
                [1 ]Key Laboratory of Mechanism Theory and Equipment Design of the Ministry of Education, Centre for Advanced Mechanisms and Robotics, Tianjin University, China
                [2 ]State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, China
                [3 ]Department of Electrical and Computer Engineering, Clemson University, USA
                [4 ]Faculty of Engineering, University of Nottingham, UK
                [5 ]Centre for Robotics Research, King’s College London, UK
                Article
                10.1177/0278364920913929
                d73c9574-70e2-4365-9d43-9834f672b28c
                © 2020

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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