Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 654 for “"GRASP"”.
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Example-based grasp adaptation
… intelligent humanoid robots with the ability to grasp objects has been a question of great interest. Most approaches, however, assume that objects are composed of primitive shapes such as box, sphere, and cylinder. In the thesis, we explore an efficient and robust method to decide grasps given …
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Visualizing Synaptic Specificity with GRASP
… GFP reconstitution across synaptic partners (GRASP), that allows visualization of defined synapses in vivo, and apply this method at one set of synapses in the brain of the nematode C. elegans. The principle of GRASP relies on bimolecular assembly of two GFP fragments expressed on two cells at …
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Grasp gaits for planar object manipulation
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1997.
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An investigation into children's grasp of reality
This study aims to explore a heterogeneous group of pre-schoolers' conceptual understanding. Seven Piagetian type tasks, aimed slightly above pre-schoolers' perceived pre-operational level of development, are presented to the research subjects individually, on two separate occasions. The results …
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Learning task-oriented grasp heuristics from demonstration
… Almost without conscious thought, we select a grasp that meets the implicit constraints related to the task to be performed. A robot tasked with dexterous manipulation should likewise aim to grasp the intended object in a way that makes the next step straightforward. In some cases, lack of …
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Graspables : Grasp recognition as a user interface
The Graspables project is an exploration of how measuring the way people hold and manipulate objects can be used as a user interface. As computational power continues to implemented in more and more objects and devices, new interaction methods need to be developed. The Graspables System is embodied …
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Grasp Stability with a Robotic Exoskelton Glove
Grasp stability was studied and researched upon by various research groups, but mainly focused on robotic grippers by devising conditions for a stable grasp. Maintaining grasp stability is important so as to reduce the chances of the object slipping and dropping. But there was little focus on the …
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Multimodal Analysis of Functional Reach to Grasp for Telerehabilitation
L'abstract è presente nell'allegato / the abstract is in the attachment
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Grasp, a visible and manipulable model for procedural programs
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1986.
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Grasp--a language to facilitate the synthesis of parallel programs
In the context of this thesis, the name Grasp subsumes three distinct but highly interrelated projects. First of all, Grasp is a programming language that allows the user to define properties of graph-theoretic objects by using high-level nonprocedural descriptions called specifications. Second, …
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Index tracking model through an enhanced GRASP approach for the financial portfolio problem
… of Greedy Randomized Adaptive Search Procedure (GRASP) for index tracking. It was sought to implement and adapt a heuristic that was not yet applied to the index tracking problem and evaluate its performance relative to a commercial solver. It was necessary to develop a new greedy function and to …
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Effects of Movement Context on Reach-Grasp-Lift Motion and Grip Force after Stroke
… we compared paretic-limb performance of a reach-grasp-lift task at a self-selected preferred speed to the same task performed as fast as possible. People with hemiparesis were able to move faster than their preferred speed, and when they did, movement quality was better. Reach paths were …
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Left-handed BCI - examining effects of handedness and hand dominance on EEG grasp classification
… (9 right-handed, 7 left-handed), on a set of 6 grasp types, and a selection of 5 classification algorithms (Naive Bayes, Decision Tree, Logistic Regression, Support Vector Machine, and Neural Network) commonly found in previous works were used. Outcomes of the study indicate that Neural Networks …
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