Compensatory Versus Noncompensatory Shoulder Movements Used for Reaching in Stroke von Levin, Mindy F., Liebermann, Dario G., Parmet, Yisrael, Berman, Sigal

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Human-Centered Transparency of Grasping via a Robot-Assisted Minimally Invasive Surgery System von Milstein, Amit, Ganel, Tzvi, Berman, Sigal, Nisky, Ilana

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Automatic Curriculum Determination for Deep Reinforcement Learning in Reconfigurable Robots von Karni, Zohar, Simhon, Or, Zarrouk, David, Berman, Sigal

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Automating provision of feedback to stroke patients with and without information on compensatory movements: A pilot study von Fruchter, Daphne, Feingold Polak, Ronit, Berman, Sigal, Levy-Tzedek, Shelly

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Grasping Weber's Law in a Virtual Environment: The Effect of Haptic Feedback von Ozana, Aviad, Berman, Sigal, Ganel, Tzvi

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Overcoming Obstacles With a Reconfigurable Robot Using Deep Reinforcement Learning Based on a Mechanical Work-Energy Reward Function von Simhon, Or, Karni, Zohar, Berman, Sigal, Zarrouk, David

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Most discriminating segment – Longest common subsequence (MDSLCS) algorithm for dynamic hand gesture classification von Stern, Helman, Shmueli, Merav, Berman, Sigal

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Overcoming Obstacles With a Reconfigurable Robot Using Reinforcement Learning von Yehezkel, Liran, Berman, Sigal, Zarrouk, David

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ENHANCE proof-of-concept three-arm randomized trial: effects of reaching training of the hemiparetic upper limb restricted to the spasticity-free elbow range von Levin, Mindy F., Berman, Sigal, Weiss, Neta, Parmet, Yisrael, Baniña, Melanie C., Frenkel-Toledo, Silvi, Soroker, Nachum, Solomon, John M., Liebermann, Dario G.

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Enhancing motion tracking accuracy of a low-cost 3D video sensor using a biomechanical model, sensor fusion, and deep learning von Agami, Shahar, Riemer, Raziel, Berman, Sigal

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Shared and distinct voxel-based lesion-symptom mappings for spasticity and impaired movement in the hemiparetic upper limb von Frenkel-Toledo, Silvi, Levin, Mindy F., Berman, Sigal, Liebermann, Dario G., Baniña, Melanie C., Solomon, John M., Ofir-Geva, Shay, Soroker, Nachum

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Effect of post-stroke spasticity on voluntary movement of the upper limb von Lackritz, Hadar, Parmet, Yisrael, Frenkel-Toledo, Silvi, Banina, Melanie C., Soroker, Nachum, Solomon, John M., Liebermann, Dario G., Levin, Mindy F., Berman, Sigal

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The Rαβγ categorisation framework for dexterous robotic manufacturing processes von Shneor, Ran, Berman, Sigal

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Personalized upper limb training combined with anodal-tDCS for sensorimotor recovery in spastic hemiparesis: study protocol for a randomized controlled trial von Levin, Mindy F, Baniña, Melanie C, Frenkel-Toledo, Silvi, Berman, Sigal, Soroker, Nachum, Solomon, John M, Liebermann, Dario G

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Anatomical Abnormalities in Autism? von Haar, Shlomi, Berman, Sigal, Behrmann, Marlene, Dinstein, Ilan

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Visuomotor Resolution in Telerobotic Grasping with Transmission Delays von Afgin, Omri, Sagi, Nir, Nisky, Ilana, Ganel, Tzvi, Berman, Sigal

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User Identification for Home Entertainment Based on Free-Air Hand Motion Signatures von Mendels, Omri, Stern, Helman, Berman, Sigal

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Automatic graspability map generation based on shape-primitives for unknown and familiar objects von Eizicovits, Danny, Berman, Sigal

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Efficient sensory-grounded grasp pose quality mapping for gripper design and online grasp planning von Eizicovits, Danny, Berman, Sigal

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Motion Adaptation Based on Learning the Manifold of Task and Dynamic Movement Primitive Parameters von Cohen, Yosef, Bar-Shira, Or, Berman, Sigal

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