2022 Sixth IEEE International Conference on Robotic Computing (IRC) 2022
DOI: 10.1109/irc55401.2022.00015
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A Flexible MATLAB/Simulink Simulator for Robotic Floating-base Systems in Contact with the Ground

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Cited by 1 publication
(4 citation statements)
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“…Simulink Functions allow replacing the former bindings with programmatic calls to custom, self-contained Simulink blocks, like the WBT (Whole-Body Toolbox) blocks which implement a C++ abstraction layer wrapping the iDynTree library through the BlockFactory framework [7]. The WBT blocks are code generation ready, allowing a significant execution speed improvement [8] , while keeping a compact and flexible implementation of complex algorithms, and a flexible analysis capability as it allows users to use Simulink's rapid prototyping and visual data analysis abilities.…”
Section: Simulink Function Blockmentioning
confidence: 99%
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“…Simulink Functions allow replacing the former bindings with programmatic calls to custom, self-contained Simulink blocks, like the WBT (Whole-Body Toolbox) blocks which implement a C++ abstraction layer wrapping the iDynTree library through the BlockFactory framework [7]. The WBT blocks are code generation ready, allowing a significant execution speed improvement [8] , while keeping a compact and flexible implementation of complex algorithms, and a flexible analysis capability as it allows users to use Simulink's rapid prototyping and visual data analysis abilities.…”
Section: Simulink Function Blockmentioning
confidence: 99%
“…Another example, depicted in Table 1, illustrating how the execution of multiple intermediate MEX functions is replaced by a single Simulink Function call, reducing significantly the processing time [8].…”
Section: Integrating a Simulink Function Example: Simfunc Qpoasesmentioning
confidence: 99%
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