The paper presents a stochastic methodology for the simultaneous floating-base estimation of the human whole-body kinematics and dynamics (i.e., joint torques, internal and external forces). The paper builds upon our former work where a fixed-base formulation had been developed for the human estimation problem. The presented approach is validated by presenting experimental results of a health subject equipped with a wearable motion tracking system and a pair of shoes sensorized with force/torque sensors while performing different motion tasks, e.g., walking on a treadmill. The results show that joint torque estimates obtained by using floating-base and fixed-base approaches match satisfactorily, thus validating the present approach.
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http://dx.doi.org/10.3390/s19122794 | DOI Listing |
Front Robot AI
July 2022
PAL Robotics, Barcelona, Spain.
This paper presents , an open-source framework for trajectory optimization tailored to robotic systems that implements a set of tools to simplify the process of dynamic motion generation. Its user-friendly Python-based API allows designing the most complex robot motions using a simple and intuitive syntax. At the same time, the modular structure of Horizon allows for easy customization on many levels, providing several recipes to handle fixed and floating-base systems, contact switching, variable time nodes, multiple transcriptions, integrators and solvers to guarantee flexibility towards diverse tasks.
View Article and Find Full Text PDFSensors (Basel)
December 2019
Dynamic Interaction Control Lab at Istituto Italiano di Tecnologia, 16163 Genova, Italy.
A crucial part of dynamic motions is the interaction with other objects or the environment. Floating base robots have yet to perform these motions repeatably and reliably. Force torque sensors are able to provide the full description of a contact.
View Article and Find Full Text PDFSensors (Basel)
June 2019
Dynamic Interaction Control at Istituto Italiano di Tecnologia, Center for Robotics and Intelligent Systems, Via San Quirico 19D, 16163 Genoa, Italy.
The paper presents a stochastic methodology for the simultaneous floating-base estimation of the human whole-body kinematics and dynamics (i.e., joint torques, internal and external forces).
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