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Conference on Robotics and Automation, Seoul, Korea, pp. 2492-2498. Ito, S., Mizukoshi, Y. and Sasaki, M. (2007). Numerical analysis for optimal posture of circular object grasped with frictions, IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, pp. 2492-2498. Jia, Y.B. (2000). Grasping curved objects through rolling, IEEE International Conference on Robotics and Automation, San Francisco, CA, USA, pp. 377-382. Kim, B., Oh, S., Yi, B. and Suh, I.H. (2001). Optimal grasping based on non-dimensionalized performance indices, IEEE

Abstract

The aim of this study was to test the impact of the Grasping Test (GT) on the female cardiovascular system and to ascertain the possibility of using this to replace the Orthostatic Tolerance Test (OT). In this study, 15 volunteer female students were examined, and their physiological parameters - their systolic (SBP) and diastolic blood pressures (DBP), and their heart rates (HR) - were compared. We found that the Orthostatic Tolerance Test (changing the position of the body from recumbent to upright) and the Grasping Test induced meaningful but similar changes in the functioning of the women’s cardiovascular system. The results confirm that there were significant similarities between the cardiovascular system measurements as produced through the Orthostatic Tolerance Test and the Grasping Test. The possibility of introducing the procedure into clinical practice is a crucial factor for continuing our research in the wider population.

REFERENCES 1. Boubekri N., Chakraborty P. (2002), Robotic grasping: gripper designs, control methods and grasp configurations – a review of research, Integrated Manufacturing Systems , 13, 520–531. 2. Carbone G. (2013), Grasping in robotics , Springer-Verlag London. 3. Causey G. (2003), Guidelines for the design of robotic gripping systems, Assembly Automation , 23(1), 18–28. 4. Causey G.C., Quinn R.D. (1998), Gripper design guidelines for modular manufacturing, IEEE International Conference on Robotics and Automation , 2, 1453–1458. 5. Ceccarelli M

), Robotic recognition for unstructured 2-D parts to pick and place objects, 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology, 1478–1482. 19. Nieuwenhuisen M., Stückler J., Berner A., Klein R., Behnke S. (2012), Shape-primitive based object recognition and grasping, Proceedings of the 7th German Conference on Robotics . 20. Pessoa R., Barbosa W., McLoughlin J., Kokaram A. (2018), Visual Servo Control of a Micro Quad-copter as a Teaching Platform for Engineering, 29th Irish Signals and Systems Conference

Range Finders. IEEE Transactions on Robotics and Automation, Vol. 14, No. 3, pp. 493-497. 25. Y. JINCHENG, K. WENG, G. LIANG, G. XIE. 2013. A vision-based robotic grasping system using deep learning for 3D object recognition and pose estimation. IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1175-1180. 26. J. NAGI, F. DUCATELLE, G.A. DI CARO, D. CIRESAN, U. MEIER, A. GIUSTI, F. NAGI, J. SCHMIDHUBER, L.M. GAMBARDELLA. 2011. Max-pooling convolutional neural networks for vision-based hand gesture recognition. IEEE International Conference on

Abstract

This paper describes the results of experiments on detection and recognition of 3D objects in RGB-D images provided by the Microsoft Kinect sensor. While the studies focus on single image use, sequences of frames are also considered and evaluated. Observed objects are categorized based on both geometrical and visual cues, but the emphasis is laid on the performance of the point cloud matching method. To this end, a rarely used approach consisting of independent VFH and CRH descriptors matching, followed by ICP and HV algorithms from the Point Cloud Library is applied. Successfully recognized objects are then subjected to a classical 2D analysis based on color histogram comparison exclusively with objects in the same geometrical category. The proposed two-stage approach allows to distinguish objects of similar geometry and different visual appearance, like soda cans of various brands. By separating geometry and color identification phases, the applied system is still able to categorize objects based on their geometry, even if there is no color match. The recognized objects are then localized in the three-dimensional space and autonomously grasped by a manipulator. To evaluate this approach, a special validation set was created, and additionally a selected scene from the Washington RGB-D Object Dataset was used.

type manipulator, Acta Mechanica et Automatica,Vol. 4 No. 3. 4. Handke A., Twaróg W. (2012), Method for Plannig the Finger's Movement in the Anthropomorphic Manipulator Hand-K3m Using a Tactile Sensors Network, with the Aim of Optimal Grasping, Mechanism and Machine Science, Vol. 8, 309 - 315. 5. Spencer A., Pryor M., Kapoor C., Tesar D.(2008), Collision Avoidance Techniques for Tele-Operated and Autonomous Manipulators in Overlapping Workspaces, IEEE International Conference on Robotics and Automation, Pasadena. 6. Zaeh M.F., Egermeier H., Petzold B., Spitzweg M

. Malden, MA: Blackwell. Kelly, Sean. 2000. Grasping at Straws: Motor Intentionality and the Cognitive Science of Skilled Behavior. In Heidegger, Coping, and Cognitive Science: Essays in Honor of Hubert L. Dreyfus – Vol. II , ed. by M. Wrathall and J. Malpas. Cambridge, MA: MIT Press. Kelly, Sean. 2002. Merleau-Ponty on the Body. Ratio 15(4): 376-391. Rescorla, Michael. 2009. Cognitive Maps and the Language of Thought. British Journal for the Philosophy of Science 60(2): 377-407. Rosen, Gideon. 2010. Metaphysical Dependence: Grounding and Reduction. In Modality

between grip force and load force during oscillation of a hand-held object. Exp Brain Res , 2009; 193: 85-94 Danion F, Sarlegna FR, Baud-Bovy G. Delayed Visual Feedback Affects Both Manual Tracking and Grip Force Control When Transporting a Handheld Object. J Neurophysiol , 2010; 104: 641-653 de Freitas PB, Jaric S. Force coordination in static manipulation tasks performed using standard and nonstandard grasping techniques. Exp Brain Res , 2009; 194: 605-618 de Freitas PB, Krishnan V, Jaric S. Force coordination in static manipulation tasks: effects of the change in

Abstract

In this paper, I proposed a paradigm shift in Gender-Neutral-Language. The claim, which Gender-Neutral-Language can account for reality grasping and, thus, enable its actualization, is challenged; in place of an abstract reach towards social change, a more concrete emancipatory praxis must arise. Its current emancipatory prerogatives are not confronted from the standpoint of its already-established arguments but a more comprehensive standpoint of language, more specifically, of the philosophy of language.