Sensorless Robot Collision Detection and Hybrid Force/Motion Control
By Alessandro De Luca, R. Mattone. Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005
409 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/06ccec88ac72937997a1c3e024de0787806c9032
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Sami Haddadin
- Alin Olimpiu Albu-Schäffer
- G. Hirzinger
- Antonio Bicchi
- Bruno Siciliano
- Agostino De Santis
- Alessandro De Luca
- Sergey Levine
In Control and Systems Engineering
- Sami Haddadin
- Alin Olimpiu Albu-Schäffer
- G. Hirzinger
- Alessandro De Luca
- Juan Pérez-Oria
- Carlos Torre-Ferrero
- Esther Gonzalez-Sarabia
- Sandra Robla-Gómez
Citations in the corpus
- Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments (2017, background): “is based on the use of residual signals proposed in [89].”
- Collision Detection and Safe Reaction with the DLR-III Lightweight Manipulator Arm (2006, methodology): “Note that σ can be computed using the measured joint position q and velocity ˙ q (possibly obtained through numerical differentiation) and the commanded motor torque τ .”
- Collision detection and reaction: A contribution to safe physical Human-Robot Interaction (2008, positive): “the angular momentum p = M(q)q̇, as proposed in [14] and [15].”
- Robot Collisions: A Survey on Detection, Isolation, and Identification (2017, methodology): “The first method that achieved simultaneously collision detection, isolation, and identification was proposed in [33] and [34].”
- An atlas of physical human-robot interaction (2008, positive): “A particularly efficient algorithm that uses only encoder positions is based on the monitoring of the generalized momentum of the mechanical system [53],[54], which allows also to identify (isolate) the colliding link on the robot.”