The Kinetics Observer: A Tightly Coupled Estimator for Legged Robots
<|reference_start|>The Kinetics Observer: A Tightly Coupled Estimator for Legged Robots: In this paper, we propose the "Kinetics Observer", a novel estimator addressing the challenge of state estimation for legged robots using proprioceptive sensors (encoders, IMU and force/torque sensors). Based on a Multiplicative Extended Kalman Filter, the Kinetics Observer allows the real-time simultaneous estimation of contact and perturbation forces, and of the robot's kinematics, which are accurate enough to perform proprioceptive odometry. Thanks to a visco-elastic model of the contacts linking their kinematics to the ones of the centroid of the robot, the Kinetics Observer ensures a tight coupling between the whole-body kinematics and dynamics of the robot. This coupling entails a redundancy of the measurements that enhances the robustness and the accuracy of the estimation. This estimator was tested on two humanoid robots performing long distance walking on even terrain and non-coplanar multi-contact locomotion.<|reference_end|>
@article{demont2024the,
    title={The Kinetics Observer: A Tightly Coupled Estimator for Legged Robots},
    author={Arnaud Demont (CNRS-AIST JRL, LISV), Mehdi Benallegue (CNRS-AIST JRL),
  Abdelaziz Benallegue (LISV, UVSQ), Pierre Gergondet (CNRS-AIST JRL), Antonin
  Dallard (LIRMM), Rafael Cisneros (CNRS-AIST JRL), Masaki Murooka (CNRS-AIST
  JRL), Fumio Kanehiro (CNRS-AIST JRL)},
    journal={arXiv preprint arXiv:2406.13267},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.13267},
    primaryClass={cs.RO}
}