Alle Publikationen
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2010
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(2010) : Secondary action in robot motion: 19th International Symposium in Robot and Human Interactive Communication: Viareggio, Italy: IEEE, S. 310-315
DOI: https://doi.org/10.1109/ROMAN.2010.5598730 Abstract: Secondary action, a concept borrowed from character animation, improves the animation realism by augmenting natural, passive motion to primary action. We use dynamic simulation to induce three techniques of secondary motion for robot hardware, which exploit actuation passivity to overcome hardware constraints and change the dynamic perception of the robot and its motion characteristics. Results of secondary motion due to internal and external forces are presented including discussion on how to choose the appropriate technique for a particular application.
2007
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Institute of Electrical and Electronics Engineers; IEEE International Symposium on Robot and Human Interactive Communication; Ro-Man 2007 (2007): The 16th IEEE International Symposium on Robot and Human Interactive Communication, 2007. RO-MAN 2007 ; Jeju, Korea, 26 - 29 Aug. 2007. RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication. Jeju, South Korea, 8/26/2007 - 8/29/2007. Piscataway, NJ: IEEE Service Center
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(2007) : Towards Realistic Facial Behaviour in Humanoids - Mapping from Video Footage to a Robot Head: 2007 IEEE 10th International Conference on Rehabilitation Robotics: Piscataway NJ: IEEE, S. 833-840
DOI: https://doi.org/10.1109/ICORR.2007.4428521 Abstract: Rehabilitation robotics and physical therapy could greatly benefit from engaging and motivating, robotic caregivers which respond in accordance to patients’ emotional and social cues. Recent studies indicate that human-machine interactions are more believable and memorable when a physical entity is present, provided that the machine behaves in a realistic manner. It is desirable to adopt face-to-face communication because it is the most natural and efficient way of exchanging information and does not require users to alter their habits. Towards this end, we describe a process for animating a robot head, based on video input of a human head. We map from the 2D coordinates of feature points into the robot’s servo space using Partial Least Squares (PLS). Learning is done using a small set of keyframes manually created by an animator. The method is efficient, robust to tracking errors and independent of the scale of the face being tracked.
Keywords: Animation, Computer animation, Facial animation, human-machine interactions, Humanoid Robots, Humanoids, Humans, ieee xplore, Künstliche Intelligenz, Learning, learning (artificial intelligence), Magnetic heads, Man machine systems, medical robotics, Medical treatment, Orbital robotics, partial least squares, patient rehabilitation, physical therapy, realistic facial behaviour, Rehabilitation robotics, robot head, Robot kinematics, robot servo space, servomechanisms, video footage 2003
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RO-MAN 2003. 12th IEEE International Workshop on Robot and Human Interactive Communication : proceedings : October 31-November 2, 2003, Millbrae, California, USA (2003). Proceedings. RO-Man 2003. The 12th IEEE International Workshop on Robot and Human Interactive Communication. Millbrae, CA, USA, 31 Oct.-2 Nov. 2003. Piscataway, N.J.: IEEE
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