Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/3645
Title: Unified modeling of unconventional modular and reconfigurable manipulation system
Authors: Dogra, A.
Mahna, S.
Padhee, S.S.
Singla, E.
Keywords: Kinematics and dynamic modeling
Modular and reconfigurable design
Modular library
Reconfigurable software architecture
Robot Operating System
Issue Date: 16-Jul-2022
Abstract: Customization of manipulator configurations using modularity and reconfigurability aspects is receiving much attention. Modules presented so far in literature deal with the conventional and standard configurations. This paper presents the 3D printable, light-weight and unconventional modules: MOIRs’ Mark-2, to develop any custom n-Degrees-of-Freedom (DoF) serial manipulator even with the non-parallel and non-perpendicular jointed configuration. These unconventional designs of modular configurations seek an easy adaptable solution for both modular assembly and software interfaces for automatic modeling and control. A strategy of assembling the modules, automatic and unified modeling of the modular and reconfigurable manipulators with unconventional parameters is proposed in this paper using the proposed 4 modular units. A reconfigurable software architecture is presented for the automatic generation of kinematic and dynamic models and configuration files. Using these a designer can design and validate the models using visualization, plan and execute the motion of the developed configuration as required. The framework developed is based upon an open source platform called as Robot Operating System (ROS), which acts as a digital twin for the modular configurations. For the experimental demonstration, a 3D printed modular library is developed and an unconventional configuration is assembled, using the proposed modules followed by automatic modeling and control, for a single cell of the vertical farm setup.
URI: http://localhost:8080/xmlui/handle/123456789/3645
Appears in Collections:Year-2022

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