The aim of this work is to develop and evaluate a wearable robotic system fusing the concepts of assistance and therapy in the design of RELab tenoexo, a fully wearable actuated hand exoskeleton for assistance in daily life and with the potential for wearable all-day rehabilitation in the clinic or at home for subjects with neuromotor hand impairments.
DESIGN OF A PASSIVE EXOSKELETON SPINE SEPTEMBER 2014 HAOHAN ZHANG, B.E.M.E, DALIAN UNIVERSITY OF TECHNOLOGY M.S.M.E., UNIVERSITY OF MASSACHUSETTS AMHERST Directed by: Professor Frank C. Sup IV In this thesis, a passive exoskeleton spine was designed and evaluated by a series of biomechanics simulations.
This doctoral thesis presents technical strategies for the rational maintenance of the building heritage directed at the integrated retrofit of social housing stocks. The study comprised the analysis of recovered residential buildings in order to develop new sceneries to adopt in critical situations, leading to the definition of a new experimental practice called “adaptive exoskeleton”.
Exoskeletons are wearable orthotic devices, almost always instrumented and rigidly interfaced with the wearer.Powered exoskeletons are motorized with the objective to assist walking or mobilize the legs to walk.No treadmill and no body weight support are required. A closed-loop-controlled movement or torques are transmitted to the limbs.
Modelling and control of walking robots Doctoral Thesis Milan Anderle. This doctoral thesis is submitted in partial ful llment of the requirements for the degree of doctor (Ph.D.). The work submitted in this dissertation is the result of my own investiga-tion, except where otherwise stated. I declare that I worked out this thesis independently.
A POWERED SELF-CONTAINED KNEE AND ANKLE PROSTHESIS FOR NEAR NORMAL GAIT IN TRANSFEMORAL AMPUTEES By Frank Charles Sup IV Dissertation Submitted to the Faculty of the Graduate School of Vanderbilt University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in Mechanical Engineering August, 2009.
This thesis contributes multiple algorithms that develop motion control policies for mobile robot behaviors, and incorporate feedback in various ways. Our algorithms use feedback to re ne demon-strated policies, as well as to build new policies through the sca olding of simple motion behaviors learned from demonstration.