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To safely deploy legged robots in the real world it is necessary to provide them with the ability to reliably detect unexpected contacts and accurately estimate the corresponding contact force.
A. De Luca, A. Albu-Schäffer, S. Haddadin, and G. Hirzinger, “Collision detection and safe reaction with the DLR-III lightweight manipulator arm,” in IEEE International Conference on Intelligent Robots and Systems
2006
Earlier work this paper cites.
K. Manal and W. Rose, “A general solution for the time delay introduced by a low-pass Butterworth digital filter: an application to musculoskeletal modeling,” Journal of Biomechanics
2007
Earlier work this paper cites.
A. De Luca and L. Ferrajoli, “Exploiting robot redundancy in collision detection and reaction,” in IEEE/RSJ International Conference on Intelligent Robots and Systems
2008
Earlier work this paper cites.
M. Van Damme, P. Beyl, B. Vanderborght, V. Grosu, R. Van Ham, I. Vanderniepen, A. Matthys, and D. Lefeber, “Estimating robot end-effector force from noisy actuator torque measurements,” in IEEE International Conference on Robotics and Automation
2011
Earlier work this paper cites.
M. Geravand, F. Flacco, and A. De Luca, “Human-robot physical interaction and collaboration using an industrial robot with a closed control architecture,” in IEEE International Conference on Robotics and Automation
2013
Earlier work this paper cites.
C. N. Cho, Y. L. Kim, and J. B. Song, “Adaptation-and-collision detection scheme for safe physical human-robot interaction,” 9th Asian Control Conference, ASCC
2013
Earlier work this paper cites.
C. N. Cho and J. B. Song, “Collision detection algorithm robust to model uncertainty,” International Journal of Control, Automation and Systems
2013
Earlier work this paper cites.
A. Wahrburg, E. Morara, G. Cesari, B. Matthias, and H. Ding, “Cartesian contact force estimation for robotic manipulators using Kalman filters and the generalized momentum,” in IEEE International Conference on Automation Science and Engineering
2015
Earlier work this paper cites.
S. Faraji and A. J. IJspeert, “Designing a virtual whole body tactile sensor suit for a simulated humanoid robot using inverse dynamics,” in IEEE International Conference on Intelligent Robots and Systems
2016
Earlier work this paper cites.
F. Flacco, A. Paolillo, and A. Kheddar, “Residual-based contacts estimation for humanoid robots,” in IEEE-RAS International Conference on Humanoid Robots
2016
Earlier work this paper cites.
S. Haddadin, A. De Luca, and A. Albu-Schäffer, “Robot collisions: a survey on detection, isolation, and identification,” IEEE Transactions on Robotics
2017
Earlier work this paper cites.
T. Mattioli and M. Vendittelli, “Interaction force reconstruction for humanoid robots,” IEEE Robotics and Automation Letters
2017
Cited alongside, same era.
J. Vorndamme, M. Schappler, and S. Haddadin, “Collision detection, isolation and identification for humanoids,” in IEEE International Conference on Robotics and Automation
2017
Cited alongside, same era.
G. Bledt, P. M. Wensing, S. Ingersoll, and S. Kim, “Contact model fusion for event-based locomotion in unstructured terrains,” in IEEE International Conference on Robotics and Automation
2018
Cited alongside, same era.
A. Bolotnikova, S. Courtois, and A. Kheddar, “Contact observer for humanoid robot Pepper based on tracking joint position discrepancies,” in IEEE International Symposium on Robot and Human Interactive Communication
2018
Cited alongside, same era.
R. Priemer, “Fundamentals of digital signal processing,” in Analog and VLSI Circuits
J. Bimbo, C. Pacchierotti, N. G. Tsagarakis, and D. Prattichizzo, “Collision detection and isolation on a robot using joint torque sensing,” in IEEE International Conference on Intelligent Robots and Systems
2019
Later among the works it cites.
S. Mamedov and S. Mikhel, “Practical aspects of model-based collision detection,” Frontiers in Robotics and AI
2020
Later among the works it cites.
Z. Qiu, R. Ozawa, and S. Ma, “Adaptive virtual power-based collision detection and isolation with link parameter estimation,” Advanced Robotics
2020
Later among the works it cites.
Z. Cong, A. Honglei, C. Wu, L. Lang, Q. Wei, and M. Hongxu, “Contact force estimation method of legged-robot and its application in impedance control,” IEEE Access
2020
Later among the works it cites.
S. A. B. Birjandi, J. Kuhn, and S. Haddadin, “Observer-extended direct method for collision monitoring in robot manipulators using proprioception and IMU sensing,” IEEE Robotics and Automation Letters
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2018
Cited alongside, same era.
T. Ito, K. Ayusawa, E. Yoshida, and A. Kheddar, “Experimental study for controller-friendly contact estimation for humanoid robot,” in IEEE Workshop on Advanced Robotics and its Social Impacts
2019
Cited alongside, same era.
G. Garofalo, N. Mansfeld, J. Jankowski, and C. Ott, “Sliding mode momentum observers for estimation of external torques and joint acceleration,” in IEEE International Conference on Robotics and Automation
2019
Cited alongside, same era.
A. Bolotnikoval, S. Courtois, and A. Kheddar, “Compliant robot motion regulated via proprioceptive sensor based contact observer,” in IEEE-RAS International Conference on Humanoid Robots
2019
Cited alongside, same era.
L. Hawley, R. Rahem, and W. Suleiman, “External force observer for small- and medium-sized humanoid robots,” International Journal of Humanoid Robotics
2019
Cited alongside, same era.
J. Yang, H. Sun, D. Wu, X. Chen, and C. Wang, “Slip model-based foot-to-ground contact sensation via kalman filter for miniaturized quadruped robots,” in International Conference on Intelligent Robotics and Applications
2019
Cited alongside, same era.
2020
Later among the works it cites.
V. Morlando, A. Teimoorzadeh, and F. Ruggiero, “Whole-body control with disturbance rejection through a momentum-based observer for quadruped robots,” Mechanism and Machine Theory
2021
Later among the works it cites.
C. Escobedo, M. Strong, M. West, A. Aramburu, and A. Roncone, “Contact anticipation for physical human–robot interaction with robotic manipulators using onboard proximity sensors,” in IEEE/RSJ International Conference on Intelligent Robots and Systems
2021
Later among the works it cites.
J. P. Sleiman, F. Farshidian, M. V. Minniti, and M. Hutter, “A unified MPC framework for whole-body dynamic locomotion and manipulation,” IEEE Robotics and Automation Letters
2021
Later among the works it cites.
D. Lim, D. Kim, and J. Park, “Momentum observer-based collision detection using LSTM for model uncertainty learning,” in IEEE International Conference on Robotics and Automation
2021
Later among the works it cites.
J. Liang and O. Kroemer, “Contact localization for robot arms in motion without torque sensing,” IEEE International Conference on Robotics and Automation
2021
Later among the works it cites.