• Corpus ID: 5101095

A Predictive Momentum-Based Whole-Body Torque Controller: Theory and Simulations for the iCub Stepping

@article{Dafarra2017APM,
  title={A Predictive Momentum-Based Whole-Body Torque Controller: Theory and Simulations for the iCub Stepping},
  author={Stefano Dafarra and Francesco Romano and Gabriele Nava and Francesco Nori},
  journal={arXiv: Robotics},
  year={2017}
}
When balancing, a humanoid robot can be easily subjected to unexpected disturbances like external pushes. In these circumstances, reactive movements as steps become a necessary requirement in order to avoid potentially harmful falling states. In this paper we conceive a Model Predictive Controller which determines a desired set of contact wrenches by predicting the future evolution of the robot, while taking into account constraints switching in case of steps. The control inputs computed by… 

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References

SHOWING 1-10 OF 38 REFERENCES
Torque-controlled stepping-strategy push recovery: Design and implementation on the iCub humanoid robot
TLDR
This paper proposes and implements a control strategy based on the Capture Point concept and generates references for the momentum-based torque controller already implemented on the iCub, thus extending its capabilities to react to external disturbances, while retaining the advantages of torque control when interacting with the environment.
iCub Whole-Body Control through Force Regulation on Rigid Non-Coplanar Contacts
TLDR
The soundness of the entire control architecture is validated in a real scenario involving the robot iCub balancing and making contacts at both arms, and how to implement a joint torque control in the case of DC brushless motors is shown.
Stability analysis and design of momentum-based controllers for humanoid robots
TLDR
It is numerically show that the application of state-of-the-art momentum-based control strategies may lead to unstable zero dynamics and propose simple modifications to the control architecture that avoid instabilities at the zero-dynamics level.
Whole-body motion integrating the capture point in the operational space inverse dynamics control
TLDR
To achieve tasks that challenge the robot balance, the integration of the capture point (CP) in the operational-space inverse dynamics control framework is proposed letting the robot be able to simultaneously move its whole body satisfying other tasks.
Push Recovery by stepping for humanoid robots with force controlled joints
TLDR
Push Recovery Model Predictive Control (PR-MPC) is presented as a method for generating full-body step recovery motions after a large disturbance in humanoid robots.
Trajectory generation for multi-contact momentum control
TLDR
This paper proposes to use the full momentum equations of a humanoid robot in a trajectory optimization framework to plan its center of mass, linear and angular momentum trajectories and extends the previous results on linear quadratic regulator (LQR) design for momentum control by computing the optimal momentum feedback law in a receding horizon fashion.
Trajectory Free Linear Model Predictive Control for Stable Walking in the Presence of Strong Perturbations
  • Pierre-Brice Wieber
  • Engineering
    2006 6th IEEE-RAS International Conference on Humanoid Robots
  • 2006
TLDR
This work focuses on the problem of compensating strong perturbations of the dynamics of the robot and proposes a new linear model predictive control scheme which is an improvement of the original ZMP preview control scheme.
Stabilization of the Capture Point Dynamics for Bipedal Walking Based on Model Predictive Control
TLDR
Previous works on the stabilization of the Capture Point dynamics are extended by employing model predictive control (MPC), which allows to explicitly incorporate constraints on the zero-moment-point (ZMP) in the controller design.
Highly dynamic balancing via force control
TLDR
The stability of the control framework is shown to be in the sense of Lyapunov, and the contact forces and torques are regulated so as to break contacts only at desired configurations.
A versatile and efficient pattern generator for generalized legged locomotion
TLDR
A generic and efficient approach to generate dynamically consistent motions for under-actuated systems like humanoid or quadruped robots, able to compute a stable trajectory of the center of mass of the robot along with the angular momentum, for any given configuration of contacts.
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