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Dive into the research topics where Brendan Quinlivan is active.

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Featured researches published by Brendan Quinlivan.


international conference on robotics and automation | 2013

A lightweight soft exosuit for gait assistance

Michael Wehner; Brendan Quinlivan; Patrick M. Aubin; Ernesto Martinez-Villalpando; Michael Baumann; Leia Stirling; Kenneth G. Holt; Robert J. Wood; Conor J. Walsh

In this paper we present a soft lower-extremity robotic exosuit intended to augment normal muscle function in healthy individuals. Compared to previous exoskeletons, the device is ultra-lightweight, resulting in low mechanical impedance and inertia. The exosuit has custom McKibben style pneumatic actuators that can assist the hip, knee and ankle. The actuators attach to the exosuit through a network of soft, inextensible webbing triangulated to attachment points utilizing a novel approach we call the virtual anchor technique. This approach is designed to transfer forces to locations on the body that can best accept load. Pneumatic actuation was chosen for this initial prototype because the McKibben actuators are soft and can be easily driven by an off-board compressor. The exosuit itself (human interface and actuators) had a mass of 3500 g and with peripherals (excluding air supply) is 7144 g. In order to examine the exosuits performance, a pilot study with one subject was performed which investigated the effect of the ankle plantar-flexion timing on the wearers hip, knee and ankle joint kinematics and metabolic power when walking. Wearing the suit in a passive unpowered mode had little effect on hip, knee and ankle joint kinematics as compared to baseline walking when not wearing the suit. Engaging the actuators at the ankles at 30% of the gait cycle for 250 ms altered joint kinematics the least and also minimized metabolic power. The subjects average metabolic power was 386.7 W, almost identical to the average power when wearing no suit (381.8 W), and substantially less than walking with the unpowered suit (430.6 W). This preliminary work demonstrates that the exosuit can comfortably transmit joint torques to the user while not restricting mobility and that with further optimization, has the potential to reduce the wearers metabolic cost during walking.


Science Robotics | 2017

Assistance magnitude versus metabolic cost reductions for a tethered multiarticular soft exosuit

Brendan Quinlivan; Sangjun Lee; Philippe Malcolm; Denise Martineli Rossi; Martin Grimmer; Christopher Siviy; Nikolaos Karavas; Diana Wagner; Alan T. Asbeck; Ignacio Galiana; Conor J. Walsh

Evaluation of a soft exosuit designed to reduce metabolic requirements during walking. When defining requirements for any wearable robot for walking assistance, it is important to maximize the user’s metabolic benefit resulting from the exosuit assistance while limiting the metabolic penalty of carrying the system’s mass. Thus, the aim of this study was to isolate and characterize the relationship between assistance magnitude and the metabolic cost of walking while also examining changes to the wearer’s underlying gait mechanics. The study was performed with a tethered multiarticular soft exosuit during normal walking, where assistance was directly applied at the ankle joint and indirectly at the hip due to a textile architecture. The exosuit controller was designed such that the delivered torque profile at the ankle joint approximated that of the biological torque during normal walking. Seven participants walked on a treadmill at 1.5 meters per second under one unpowered and four powered conditions, where the peak moment applied at the ankle joint was varied from about 10 to 38% of biological ankle moment (equivalent to an applied force of 18.7 to 75.0% of body weight). Results showed that, with increasing exosuit assistance, net metabolic rate continually decreased within the tested range. When maximum assistance was applied, the metabolic rate of walking was reduced by 22.83 ± 3.17% relative to the powered-off condition (mean ± SEM).


international conference on robotics and automation | 2014

Multi-joint actuation platform for lower extremity soft exosuits

Ye Ding; Ignacio Galiana; Alan T. Asbeck; Brendan Quinlivan; Conor J. Walsh

Lower-limb wearable robots have been proposed as a means to augment or assist the wearers natural performance, in particular, in the military and medical field. Previous research studies on human-robot interaction and biomechanics have largely been performed with rigid exoskeletons that add significant inertia to the lower extremities and provide constraints to the wearers natural kinematics in both actuated and non-actuated degrees of freedom. Actuated lightweight soft exosuits minimize these effects and provide a unique opportunity to study human-robot interaction in wearable systems without affecting the subjects underlying natural dynamics. In this paper, we present the design and control of a reconfigurable multi-joint actuation platform that can provide biologically realistic torques to ankle, knee, and hip joints through lower extremity soft exosuits. Two different soft exosuits have been designed to deliver assistive forces through Bowden cable transmission to the ankle and hip joints. Through human subject experiments, it is demonstrated that with a real-time admittance controller, accurate force profile tracking can be achieved during walking. The average energy delivered to the test subject was calculated while walking at 1.25 m/s and actuated with 15% of the total torque required by the biological joints. The results show that the ankle joint received an average of 3.02J during plantar flexion and that the hip joint received 1.67J during flexion each gait cycle. The efficiency of the described suit and controller in transferring energy to the human biological joints is 70% for the ankle and 48% for the hip.


Journal of Neuroengineering and Rehabilitation | 2017

Physical interface dynamics alter how robotic exosuits augment human movement: implications for optimizing wearable assistive devices

Matthew B. Yandell; Brendan Quinlivan; Dmitry Popov; Conor J. Walsh; Karl E. Zelik

BackgroundWearable assistive devices have demonstrated the potential to improve mobility outcomes for individuals with disabilities, and to augment healthy human performance; however, these benefits depend on how effectively power is transmitted from the device to the human user. Quantifying and understanding this power transmission is challenging due to complex human-device interface dynamics that occur as biological tissues and physical interface materials deform and displace under load, absorbing and returning power.MethodsHere we introduce a new methodology for quickly estimating interface power dynamics during movement tasks using common motion capture and force measurements, and then apply this method to quantify how a soft robotic ankle exosuit interacts with and transfers power to the human body during walking. We partition exosuit end-effector power (i.e., power output from the device) into power that augments ankle plantarflexion (termed augmentation power) vs. power that goes into deformation and motion of interface materials and underlying soft tissues (termed interface power).ResultsWe provide empirical evidence of how human-exosuit interfaces absorb and return energy, reshaping exosuit-to-human power flow and resulting in three key consequences: (i) During exosuit loading (as applied forces increased), about 55% of exosuit end-effector power was absorbed into the interfaces. (ii) However, during subsequent exosuit unloading (as applied forces decreased) most of the absorbed interface power was returned viscoelastically. Consequently, the majority (about 75%) of exosuit end-effector work over each stride contributed to augmenting ankle plantarflexion. (iii) Ankle augmentation power (and work) was delayed relative to exosuit end-effector power, due to these interface energy absorption and return dynamics.ConclusionsOur findings elucidate the complexities of human-exosuit interface dynamics during transmission of power from assistive devices to the human body, and provide insight into improving the design and control of wearable robots. We conclude that in order to optimize the performance of wearable assistive devices it is important, throughout design and evaluation phases, to account for human-device interface dynamics that affect power transmission and thus human augmentation benefits.


ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference | 2015

Force Transfer Characterization of a Soft Exosuit for Gait Assistance

Brendan Quinlivan; Alan T. Asbeck; Diana Wagner; Tommaso Ranzani; Sheila Russo; Conor J. Walsh

Recently, there has been a growing interest in moving away from traditional rigid exoskeletons towards soft exosuits that can provide a variety of advantages including a reduction in both the weight carried by the wearer and the inertia experienced as the wearer flexes and extends their joints. These advantages are achieved by using structured functional textiles in combination with a flexible actuation scheme that enables assistive torques to be applied to the biological joints. Understanding the human-suit interface in these systems is important, as one of the key challenges with this approach is applying force to the human body in a manner that is safe, comfortable, and effective. This paper outlines a methodology for characterizing the structured functional textile of soft exosuits and then uses that methodology to evaluate several factors that lead to different suit-human series stiffnesses and pressure distributions over the body. These factors include the size of the force distribution area and the composition of the structured functional textile. Following the test results, design guidelines are suggested to maximize the safety, comfort, and efficiency of the exosuit.Copyright


The 2nd International Symposium on Wearable Robotics (WeRob) | 2017

Comparison of Ankle Moment Inspired and Ankle Positive Power Inspired Controllers for a Multi-Articular Soft Exosuit for Walking Assistance

Martin Grimmer; Brendan Quinlivan; Sangjun Lee; Philippe Malcolm; Denise Martineli Rossi; Christopher Siviy; Conor J. Walsh

Mobility can be limited due to age or impairments. Wearable robotics provide the chance to increase mobility and thus independence. A powered soft exosuit was designed that assist with both ankle plantarflexion and hip flexion through a multi-articular suit architecture. So far, the best method to reduce metabolic cost of human walking with external forces is unknown. Two basic control strategies are compared in this study: an ankle moment inspired controller (AMIC) and an ankle positive power inspired controller (APIC). Both controllers provided a similar amount of average positive exosuit power and reduced the net metabolic cost of walking by 15 %. These results suggest that average positive power could be more important than assistive moment during single stance for reducing metabolic cost. Further analysis must show if one of the approaches has advantages for wearers comfort, changes in walking kinetics and kinematics, balance related biomechanics, or electrical energy consumption.


Archive | 2013

Soft exosuit for assistance with human motion

Conor J. Walsh; Alan T. Asbeck; Ignacio Galiana Bujanda; Ye Ding; Robert Joseph Dyer; Arnar Freyr Larusson; Brendan Quinlivan; Kai Schmidt; Diana Wagner; Michael Wehner


Archive | 2013

Design and Evaluation of a Lightweight Soft Exosuit for Gait Assistance

Michael Wehner; Brendan Quinlivan; Patrick M. Aubin; Ernesto Martinez-Villalpando; Michael Bauman; Kenneth G. Holt; Robert J. Wood; Conor J. Walsh


Journal of Neuroengineering and Rehabilitation | 2017

Continuous sweep versus discrete step protocols for studying effects of wearable robot assistance magnitude

Philippe Malcolm; Denise Martineli Rossi; Christopher Siviy; Sangjun Lee; Brendan Quinlivan; Martin Grimmer; Conor J. Walsh


The 18th Design of Medical Devices Conference (DMD) | 2018

Isometric Quadriceps Strength Test Device to Improve the Reliability of Handheld Dynamometry in Patient With Anterior Cruciate Ligament Injury

Stephanie L. McNamara; Elizabeth Gallardo Hevia; Reggie St. Louis; William Cho; Sangjun Lee; Martina Moyne; Brendan Quinlivan; Christopher J. Payne; Conor J. Walsh; Greg Schiller; Louis N. Awad

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Philippe Malcolm

University of Nebraska Omaha

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Martin Grimmer

Technische Universität Darmstadt

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