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Stiffness Control of Deformable Robots Using Finite Element Modeling
- Source :
- IEEE Robotics and Automation Letters, IEEE Robotics and Automation Letters, IEEE 2019, 4 (2), pp.469-476. ⟨10.1109/LRA.2019.2890897⟩, IEEE Robotics and Automation Letters, 2019, 4 (2), pp.469-476. ⟨10.1109/LRA.2019.2890897⟩
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- International audience; Due to the complexity of modeling deformable materials and infinite degrees of freedom, the rich background of rigid robot control has not been transferred to soft robots. Thus, most model-based control techniques developed for soft robots and soft haptic interfaces are specific to the particular device. In this paper, we develop a general method for stiffness control of soft robots suitable for arbitrary robot geometry and many types of actuation. Extending previous work that uses finite element modeling for position control, we determine the relationship between end-effector and actuator compliance, including the inherent device compliance, and use this to determine the appropriate controlled actuator stiffness for a desired stiffness of the end-effector. Such stiffness control, as the first component of impedance control, can be used to compensate for the natural stiffness of the deformable device and to control the robot's interaction with the environment or a user. We validate the stiffness projection on a deformable robot and include this stiffness projection in a haptic control loop to render a virtual fixture.
- Subjects :
- 0209 industrial biotechnology
Control and Optimization
Haptics and Haptic Interfaces
Computer science
Biomedical Engineering
Soft robotics
02 engineering and technology
law.invention
Computer Science::Robotics
Compliance and Impedance Control
020901 industrial engineering & automation
Modeling
Artificial Intelligence
law
Control theory
Control
medicine
[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
Haptic technology
ComputingMethodologies_COMPUTERGRAPHICS
Robot kinematics
Mechanical Engineering
Stiffness
021001 nanoscience & nanotechnology
Robot end effector
Computer Science Applications
Robot control
Human-Computer Interaction
Impedance control
Control and Systems Engineering
Robot
Computer Vision and Pattern Recognition
medicine.symptom
0210 nano-technology
Actuator
Learning for Soft Robots
Subjects
Details
- Language :
- English
- ISSN :
- 23773766
- Database :
- OpenAIRE
- Journal :
- IEEE Robotics and Automation Letters, IEEE Robotics and Automation Letters, IEEE 2019, 4 (2), pp.469-476. ⟨10.1109/LRA.2019.2890897⟩, IEEE Robotics and Automation Letters, 2019, 4 (2), pp.469-476. ⟨10.1109/LRA.2019.2890897⟩
- Accession number :
- edsair.doi.dedup.....35cf07849446782fe8dee8d5c84822f7
- Full Text :
- https://doi.org/10.1109/LRA.2019.2890897⟩