Carlos Cardoso
Ph.D. Students
This author has not yet filled in any details.
[1] João Avelino, T. Paulino, Carlos Cardoso, Ricardo Nunes, Plinio Moreno, Alexandre Bernardino, "Towards natural handshakes for social robots: human-aware hand grasps using tactile sensors", Journal of Behavioral Robotics, vol. 9, issue 1, pp. 221-234, 2018
[1] Carlos Cardoso, "Exploiting a Statistical Body Model for Handover Interaction Primitives", Proc, of ICDL - IEEE International Conference on Development and Learning, pp. 314-319, 2022
[2] Carlos Cardoso, Alexandre Bernardino, "Bayesian Interaction Primitives for Robot to Human Handover with Giver-Egocentric Observations", EgoVIP - Egocentric vision for interactive perception, learning, and control, Workshop at IROS 2021, 2021
[3] Atabak Dehban, Carlos Cardoso, Pedro Vicente, Alexandre Bernardino, José Santos-Victor, "Robotic Interactive Physics Parameters Estimator (RIPPE)", Proc. of IEEE International Conference on Developmental and Learning and on Epigenetic Robotics (ICDL-EpiRob). Oslo, Norway, 2019
[4] Carlos Cardoso, Alexandre Bernardino, "Adaptive Non Maximal Suppression Filtering for Online Exploration Learning with Cost-Regularized Kernel Regression", Proc. of ICARSC 2017 - IEEE 17th International Conference on Autonomous Robot Systems and Competitions, Coimbra, Portugal, 2017
[5] Carlos Cardoso, Lorenzo Jamone, Alexandre Bernardino, "A novel approach to dynamic movement imitation based on quadratic programming", Proc. of ICRA 2015 - IEEE International Conference on Robotics and Automation, Seattle, USA, 2015
[6] Carlos Cardoso, Lorenzo Jamone, Alexandre Bernardino, "A novel approach to dynamic movement imitation based on quadratic programming", Proc. of ICRA 2015 - IEEE International Conference on Robotics and Automation, Seattle, Washington, USA, 2015 - PDF
[1] João Avelino, T. Paulino, Carlos Cardoso, Plinio Moreno, Alexandre Bernardino, "Human-aware natural handshaking using tactile sensors for Vizzy, a social robot", 2nd Workshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics at IEEE RO-MAN 2017, Lisbon, Portugal, 2017