Alle Publikationen

Erweiterte Suche öffnen

Treffer: 2

2011
Ceccarelli, Marco (2011): Problems and issues for service robots in new applications. In: International Journal of Social Robotics 3 (3), S. 299-312. DOI: 10.1007/s12369-011-0097-8

DOI: https://doi.org/10.1007/s12369-011-0097-8

Abstract: Service robots give the possibility of new fields of applications for Robotics by wide spreading robots also into no technical areas. But requirements and goals need to be carefully revised both in designing and operating specific solutions. In this paper, main aspects and challenges are discussed both as problems and advantages in using robots in service operations for new areas of applications, by taking particular attention to non engineering aspects that are deduced from new service areas. In particular, two novel applications, with direct experience of the author and his team, are discussed as referring to robots for restoration activity of historical goods, and robots for physiotherapy rehabilitation and training, as examples with many very different aspects and backgrounds, but even with common issues. Key problems for developing service robots for a successful acceptance and use by even no technical users can be considered in terms of specific technical problems for low-cost user-oriented operation systems, but mainly in terms of implications for human-machine interactions. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

Keywords: Bedienung & Handhabung, design constraints, design procedure, human machine interactions, Human Machine Systems, Human Machine Systems Design, machine learning, physical therapy, physiotherapy rehabilitation, Robotics, service robot
2007
Jaeckel, P.; Campbell, N.; Melhuish, C. (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

2011

2007

poliTE