72 research outputs found

    Injury and Skeletal Biomechanics

    Get PDF
    This book covers many aspects of Injury and Skeletal Biomechanics. As the title represents, the aspects of force, motion, kinetics, kinematics, deformation, stress and strain are examined in a range of topics such as human muscles and skeleton, gait, injury and risk assessment under given situations. Topics range from image processing to articular cartilage biomechanical behavior, gait behavior under different scenarios, and training, to musculoskeletal and injury biomechanics modeling and risk assessment to motion preservation. This book, together with "Human Musculoskeletal Biomechanics", is available for free download to students and instructors who may find it suitable to develop new graduate level courses and undergraduate teaching in biomechanics

    Biomechanical models and stability analysis of bipedal running = Biomechanische Modelle und Stabilitรคtsanalyse des zweibeinigen Rennens

    Get PDF
    Humans and birds both walk and run bipedally on compliant legs. However, differences in leg architecture may result in species-specific leg control strategies as indicated by the observed gait patterns. In this work, control strategies for stable running are derived based on a conceptual model and compared with experimental data on running humans and pheasants (Phasianus colchicus). From a model perspective, running with compliant legs can be represented by the planar spring mass model. However, to compare experimental data to simulated spring mass running, an effective leg stiffness has to be defined. In chapter 2, different methods of estimating a leg stiffness during running are compared to running patterns predicted by the spring mass model, and a new method only relying on temporal parameters is proposed and used in the further course of this work. It has been shown that spring mass running is self-stabilizing for sufficiently high running speeds. However, to provide stability over a broader range of running, control strategies can be applied and swing leg control is one elegant approach to stabilize the running pattern, while maintaining the system energy conservative. Here, linear adaptations of the swing leg parameters, leg angle, leg length and leg stiffness, are assumed. Experimentally observed kinematic control parameters (leg rotation and leg length change) of running humans (chapter 3 and 4) and pheasants (chapter 4) are compared, and interpreted within the context of this model, with specific focus on stability and robustness characteristics

    Simple models of legged locomotion based on compliant limb behavior = Grundmodelle pedaler Lokomotion basierend auf nachgiebigem Beinverhalten

    Get PDF
    In der vorliegenden Dissertation werden einfache Modelle zur Beinlokomotion unter der gemeinsamen Hypothese entwickelt, dass die beiden grundlegenden und als verschieden angesehenen Gangarten Gehen und Rennen auf ein allgemeines Konzept zurรผckgefรผhrt werden kรถnnen, welches in den Standphasen allein auf nachgiebigem Beinverhalten beruht. Hierbei wird auf der Ebene der mechanischen Beschreibung der Gangarten nachgiebiges Beinverhalten mittels des vom Rennen bekannten Masse-Feder-Modells abstrahiert. Zunรคchst wird eine vergleichsweise einfache, analytische Nรคherungslรถsung desselben identifiziert; in einem weiteren Schritt wird die charakteristische Geschwindigkeit des Gangartwechsels aus federartigem Beinverhalten erklรคrt; und schlieรŸlich wird ein zweibeiniges Masse-Feder-Modell fรผr Gehen vorgeschlagen, welches die beobachteten Bodenreaktionskrรคfte dieser Gangart beschreibt. Auf der Ebene der neuromechanischen Beschreibung wird aufgezeigt, wie das mit einer mechanischen Feder abstrahierte Beinverhalten durch eine positive Rรผckkopplung der Muskelkraft dezentral und autonom innerhalb des Muskelskelettapparats erzeugt werden kann. SchlieรŸlich werden die Einzelergebnisse der Arbeit zusammengefasst, wobei die beiden fundamentalen Gangarten Gehen und Rennen innerhalb des zweibeinigen Masse-Feder-Modells vereinigt werden und die Bedeutung dieses, auf nachgiebigem Beinverhalten beruhenden Zusammenschlusses sowohl fรผr die biomechanische und motorische Grundlagenforschung als auch fรผr Anwendungen in der Robotik, Rehabilitation und Prothetik erรถrtert wird

    Kinematic control of extreme jump angles in the red-legged running frog, Kassina maculata

    Get PDF
    The kinematic flexibility of frog hindlimbs enables multiple locomotor modes within a single species. Prior work has extensively explored maximum performance capacity in frogs; however, the mechanisms by which anurans modulate performance within locomotor modes remain unclear. We explored how Kassina maculata, a species known for both running and jumping abilities, modulates take-off angle from horizontal to nearly vertical. Specifically, how do 3D motions of leg segments coordinate to move the centre of mass (COM) upwards and forwards? How do joint rotations modulate jump angle? High-speed video was used to quantify 3D joint angles and their respective rotation axis vectors. Inverse kinematics was used to determine how hip, knee and ankle rotations contribute to components of COM motion. Independent of take-off angle, leg segment retraction (rearward rotation) was twofold greater than adduction (downward rotation). Additionally, the joint rotation axis vectors reoriented through time, suggesting dynamic shifts in relative roles of joints. We found two hypothetical mechanisms for increasing take-off angle. Firstly, greater knee and ankle excursion increased shank adduction, elevating the COM. Secondly, during the steepest jumps, the body rotated rapidly backwards to redirect the COM velocity. This rotation was not caused by pelvic angle extension, but rather by kinematic transmission from leg segments via reorientation of the joint rotation axes. We propose that K. maculata uses proximal leg retraction as the principal kinematic drive while dynamically tuning jump trajectory by knee and ankle joint modulation

    Design, implementation and control of self-aligning, bowden cable-driven, series elastic exoskeletons for lower extremity rehabilitation

    Get PDF
    We present AssistOn-Leg, a modular, self-aligning exoskeleton for robotassisted rehabilitation of lower extremities. AssistOn-Leg consists of three selfaligning, powered exoskeletons targeting ankle, knee and hip joints, respectively. Each module can be used in a stand-alone manner to provide therapy to its corresponding joint or the modules can be connected together to deliver natural gait training to patients. In particular, AssistOn-Ankle targets dorsiflexion/ plantarflexion and supination/pronation of human ankle and can be configured to deliver balance/proprioception or range of motion/strengthening exercises; AssistOn-Knee targets flexion/extension movements of the knee joint, while also accommodating its translational movements in the sagittal plane; and AssistOn- Hip targets flexion/extension movements hip joint, while allowing for translations of hip-pelvis complex in the sagittal plane. Automatically aligning their joint axes, modules of AssistOn-Leg ensure an ideal match between human joint axes and the exoskeleton axes. Self-alignment of the modules not only guarantees ergonomy and comfort throughout the therapy, but also significantly shortens the setup time required to attach a patient to the exoskeleton. Bowden cable-driven series elastic actuation is utilized in the modules located at the distal (knee and ankle) joints of AssistOn-Leg to keep the apparent inertia of the system low, while simultaneously providing large actuation torques required to support human gait. Series elasticity also provides good force tracking characteristics, active back-driveability within the control bandwidth and passive compliance as well as impact resistance for excitations above this bandwidth. AssistOn-Hip is designed to be passively back-driveable with a capstan-based multi-level transmission. Thanks to passive compliance of the distal modules and passive backdriveability of the hip module, the overall design ensures safety even under power losses and robustness throughout the whole frequency spectrum

    ์‚ฌ๋žŒ ๋ณดํ–‰ ๋ถ„์„ ์—ฐ๊ตฌ์™€ ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ํ™œ์šฉํ•œ ํœด๋จธ๋…ธ์ด๋“œ ๋กœ๋ด‡ ๋ณดํ–‰ ํŒจํ„ด ์ƒ์„ฑ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› ์œตํ•ฉ๊ณผํ•™๋ถ€(์ง€๋Šฅํ˜•์œตํ•ฉ์‹œ์Šคํ…œ์ „๊ณต), 2020. 8. ๋ฐ•์žฌํฅ.๋ฐœ์˜ ๋ฏธ๋„๋Ÿฌ์ง์€ ๋ณดํ–‰์˜ ์•ˆ์ •์„ฑ์„ ๋–จ์–ดํŠธ๋ฆฌ๋Š” ์š”์ธ ์ค‘ ํ•˜๋‚˜์ด๋‹ค. ๋ณดํ–‰ ์ค‘ ๋ฐœ์— ๋ฐœ์ƒํ•˜๋Š” ์ˆ˜ํ‰ ์ „๋‹จ๋ ฅ์ด ๋ฐœ๊ณผ ์ง€๋ฉด ์‚ฌ์ด์˜ ๋งˆ์ฐฐ๋ ฅ๋ณด๋‹ค ์ปค์ง€๋ฉด, ๋ฐœ์€ ์ ‘์ด‰์„ ์ƒ์‹คํ•˜๊ณ  ๋ฏธ๋„๋Ÿฌ์ง€๊ฒŒ ๋œ๋‹ค. ์—ฌ๊ธฐ์„œ, ๋ฐœ๊ณผ ์ง€๋ฉด ์‚ฌ์ด์˜ ๋งˆ์ฐฐ๋ ฅ์€ ๋ฐœ์— ์ž‘์šฉํ•˜๋Š” ์ˆ˜์ง๋ ฅ์— ์˜ํ•ด ๊ฒฐ์ •๋˜๊ฒŒ ๋œ๋‹ค. ์ฆ‰, ํœด๋จธ๋…ธ์ด๋“œ ๋กœ๋ด‡ ๋ณดํ–‰ ํŒจํ„ด ์ƒ์„ฑ์˜ ์ธก๋ฉด์—์„œ ๋ณด์ž๋ฉด, ๋กœ๋ด‡ ๋ฐœ์— ๋ฐœ์ƒํ•˜๋Š” ์ˆ˜ํ‰๋ ฅ๊ณผ ์ˆ˜์ง๋ ฅ์„ ์–ด๋–ป๊ฒŒ ์„ค๊ณ„ํ•˜๋Š”์ง€์— ๋”ฐ๋ผ ๋ณดํ–‰ ์ค‘ ๋ฏธ๋„๋Ÿฌ์ง์˜ ๊ฐ€๋Šฅ์„ฑ์ด ๋ฐ”๋€๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ์„ ํ˜• ์—ญ์ง„์ž ๋ชจ๋ธ์€ ํœด๋จธ๋…ธ์ด๋“œ ๋กœ๋ด‡์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์  ์ƒ์„ฑ์„ ์œ„ํ•ด ์ž์ฃผ ์‚ฌ์šฉ๋˜์–ด์™”๋‹ค. ์„ ํ˜• ์—ญ์ง„์ž ๋ชจ๋ธ์€ ๋กœ๋ด‡์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๋†’์ด๋ฅผ ์ผ์ •ํ•˜๊ฒŒ ์œ ์ง€ํ•˜๋„๋ก ์ œํ•œํ•œ๋‹ค. ๋ฌด๊ฒŒ ์ค‘์‹ฌ์˜ ๋†’์ด ์ œํ•œ ๋•Œ๋ฌธ์— ๋กœ๋ด‡์˜ ์ˆ˜์ง ๋ฐฉํ–ฅ์˜ ๊ฐ€์†๋„๋Š” ๋ณดํ–‰ ์†๋„์™€ ๊ด€๋ จ ์—†์ด ํ•ญ์ƒ ์ค‘๋ ฅ ๊ฐ€์†๋„๊ฐ€ ๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ˆ˜ํ‰ ๋ฐฉํ–ฅ์˜ ๊ฐ€์†๋„๋Š” ๋ณดํ–‰ ์†๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋ฉด ๋น„๋ก€ํ•˜์—ฌ ์ฆ๊ฐ€ํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ๋น ๋ฅธ ๋ณดํ–‰ ์†๋„์—์„œ๋Š” ์ˆ˜์ง๋ ฅ์— ๋น„๋ก€ํ•˜๋Š” ๋งˆ์ฐฐ๋ ฅ์— ๋น„ํ•ด ์ˆ˜ํ‰ ์ „๋‹จ๋ ฅ์ด ์ปค์ง€๋ฉด์„œ ๋ฐœ์˜ ๋ฏธ๋„๋Ÿฌ์ง์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋‹ค. ์„ ํ˜• ์—ญ์ง„์ž ๋ชจ๋ธ์— ์˜ํ•œ ์ผ์ •ํ•œ ์ˆ˜์ง ๋†’์ด ๊ตฌ์† ์กฐ๊ฑด์ด ๋กœ๋ด‡ ๋ฐœ์˜ ๋ฏธ๋„๋Ÿฌ์ง์„ ์œ ๋ฐœํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋ฌด๊ฒŒ ์ค‘์‹ฌ์˜ ์ ์ ˆํ•œ ์ˆ˜์ง ์›€์ง์ž„์„ ์ƒ์„ฑํ•จ์œผ๋กœ์จ ํœด๋จธ๋…ธ์ด๋“œ ๋กœ๋ด‡ ๋ณดํ–‰ ์ค‘ ๋ฐœ์˜ ๋ฏธ๋„๋Ÿฌ์ง์„ ์ค„์ผ ์ˆ˜ ์žˆ๋‹ค. ์ธ๊ฐ„๊ณตํ•™ ๋ถ„์•ผ์—์„œ๋Š” Available Coefficient of Friction(aCOF)๊ณผ Utilized Coefficient of Friction(uCOF)์„ ์ด์šฉํ•˜์—ฌ ์‚ฌ๋žŒ ๋ณดํ–‰ ์ค‘ ๋ฐœ์˜ ๋ฏธ๋„๋Ÿฌ์ง ๊ฐ€๋Šฅ์„ฑ์„ ์˜ˆ์ธกํ•˜๋Š” ์—ฐ๊ตฌ๋“ค์ด ์ˆ˜ํ–‰๋๋‹ค. ์—ฌ๊ธฐ์„œ, aCOF๋Š” ๋‘ ๋ฌผ์ฒด์˜ ์žฌ์งˆ์ด๋‚˜ ์ƒํƒœ์— ์˜ํ•ด ๊ฒฐ์ •๋˜๋Š” ๋งˆ์ฐฐ ๊ณ„์ˆ˜์ด๋‹ค. ๋ฐ˜๋ฉด, uCOF๋Š” ๋ณดํ–‰ ์ค‘ ์ง€์ง€ํ•˜๋Š” ๋ฐœ์— ๊ฐ€ํ•ด์ง€๋Š” ์ˆ˜ํ‰ ์ „๋‹จ๋ ฅ๊ณผ ์ˆ˜์ง๋ ฅ์˜ ๋น„์ด๋‹ค. ์ธ๊ฐ„๊ณตํ•™ ์—ฐ๊ตฌ๋“ค์— ๋”ฐ๋ฅด๋ฉด, uCOF๊ฐ€ aCOF๋ฅผ ์ดˆ๊ณผํ•  ๋•Œ ๋ฐœ์€ ์ ‘์ด‰์„ ์ƒ์‹คํ•˜๊ณ  ๋ฏธ๋„๋Ÿฌ์ง€๊ฒŒ ๋œ๋‹ค. ๋กœ๋ด‡ ๋ฐœ์˜ ๋ฏธ๋„๋Ÿฌ์ง ๊ฐ์†Œ๋ฅผ ์œ„ํ•ด์„œ๋Š” ๋กœ๋ด‡ ๋ณดํ–‰ ์ค‘ ๋ฐœ์— ๋ฐœ์ƒํ•˜๋Š” uCOF๊ฐ€ ๋กœ๋ด‡ ๋ฐœ๊ณผ ์ง€๋ฉด ์‚ฌ์ด์˜ aCOF ๋ณด๋‹ค ์ž‘์•„์ง€๋„๋ก ์ ์ ˆํ•œ ์ˆ˜์ง ๋ฐฉํ–ฅ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์ ์„ ์ƒ์„ฑํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ์ˆ˜์ง ๋ฐฉํ–ฅ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์  ์ƒ์„ฑ์ด ๊ฐ€๋Šฅํ•œ๋ฐ, ๊ฐ„๋‹จํ•˜๋ฉด์„œ๋„ ํšจ์œจ์ ์ธ ๋ฐฉ๋ฒ•์€ ๋ฌด๊ฒŒ ์ค‘์‹ฌ์˜ ์—๋„ˆ์ง€๊ฐ€ ๋ณด์กด๋˜๋„๋ก ์ˆ˜์ง ๋ฐฉํ–ฅ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์ ์„ ์ƒ์„ฑํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๊ธฐ์กด ์„ ํ˜• ์—ญ์ง„์ž ๋ชจ๋ธ์„ ์ด์šฉํ•ด ์ˆ˜ํ‰ ๋ฐฉํ–ฅ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์ ์„ ์ƒ์„ฑํ•˜๊ณ , ์šด๋™ ์—๋„ˆ์ง€์™€ ์œ„์น˜ ์—๋„ˆ์ง€๊ฐ€ ๊ตํ™˜๋˜๋ฉด์„œ ์ „์ฒด ์—๋„ˆ์ง€๊ฐ€ ๋ณด์กด๋˜๋Š” ์ˆ˜์ง ๋ฐฉํ–ฅ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์ ์„ ์ถ”๊ฐ€ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๋ฌด๊ฒŒ ์ค‘์‹ฌ์˜ ์—๋„ˆ์ง€ ๋ณด์กด ์›๋ฆฌ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ฌด๊ฒŒ ์ค‘์‹ฌ์˜ ์–‘์˜ ์ผ(Mechanical Work) ์ƒ์„ฑ์„ ์ตœ์†Œํ™”ํ•จ์œผ๋กœ์จ ๊ด€์ ˆ์˜ ์–‘์˜ ์ผ ์ƒ์„ฑ์„ ๊ฐ์†Œ์‹œํ‚ค๊ณ , ์ด๋ฅผ ํ†ตํ•ด ๋ณดํ–‰ ์ค‘ ์—๋„ˆ์ง€ ํšจ์œจ์„ ๋†’์ด๋Š” ๊ฒƒ์ด ๊ฐ€๋Šฅํ•˜๋‹ค. ์ด ๋…ผ๋ฌธ์€ ๋ฐœ๊ณผ ์ง€๋ฉด ์‚ฌ์ด์˜ aCOF ๋ณด๋‹ค ์ž‘๋„๋ก ๋ณดํ–‰ ์ค‘ uCOF๋ฅผ ์œ ์ง€ํ•˜๋ฉด์„œ ๋ฌด๊ฒŒ ์ค‘์‹ฌ์˜ ์–‘์˜ ์ผ์„ ์ตœ์†Œํ™”ํ•˜๋Š” ์ ์ ˆํ•œ ์ˆ˜์ง ๋ฐฉํ–ฅ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์ ์„ ์ƒ์„ฑํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ๋ฐœ์˜ ๋ฏธ๋„๋Ÿฌ์ง์ด ๊ฐ์†Œํ•˜๋ฉด์„œ ์—๋„ˆ์ง€ ํšจ์œจ์ด ๋†’์€ ํœด๋จธ๋…ธ์ด๋“œ ๋กœ๋ด‡ ๋ณดํ–‰ ํŒจํ„ด ์ƒ์„ฑ์„ ์œ„ํ•ด, ๋จผ์ € ์‚ฌ๋žŒ ๋ณดํ–‰ ์ค‘ uCOF์— ๊ด€ํ•œ ์—ฐ๊ตฌ์™€ ์‚ฌ๋žŒ ๋ณดํ–‰ ์ค‘ ๊ด€์ ˆ์˜ ์ผ์— ๊ด€ํ•œ ์—ฐ๊ตฌ๋ฅผ ์„ ํ–‰ํ•œ๋‹ค. ์‚ฌ๋žŒ ๋ณดํ–‰์— ๊ด€ํ•œ ๋ถ„์„ ์—ฐ๊ตฌ์™€ ์‚ฌ๋žŒ ๋ณดํ–‰์˜ ์›๋ฆฌ ์ดํ•ด๋ฅผ ํ†ตํ•ด ์ตœ์ ํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ธฐ๋ฐ˜ ์ˆ˜์ง ๋ฐฉํ–ฅ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์  ์ƒ์„ฑ ๋ฐฉ๋ฒ•์ด ์ œ์‹œ๋œ๋‹ค. ์ œ์‹œ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ด์šฉํ•˜์—ฌ ๊ตฌํ•ด์ง„ ์ˆ˜์ง ๋ฐฉํ–ฅ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์ ์„ ํœด๋จธ๋…ธ์ด๋“œ ๋กœ๋ด‡ ๋ณดํ–‰ ์‹คํ—˜์— ์ ์šฉํ•œ๋‹ค. ๊ถ๊ทน์ ์œผ๋กœ ์ด ๋…ผ๋ฌธ์€, ์ˆ˜์ง ๋ฐฉํ–ฅ์˜ ๋ฌด๊ฒŒ ์ค‘์‹ฌ ๊ถค์ ์„ ์ถ”๊ฐ€ํ•จ์œผ๋กœ์จ ๊ธฐ์กด ์„ ํ˜• ์—ญ์ง„์ž ๋ชจ๋ธ์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜์—ฌ, ๋ฏธ๋„๋Ÿฌ์ง์˜ ๊ฐ€๋Šฅ์„ฑ์ด ๊ฐ์†Œํ•˜๊ณ  ์—๋„ˆ์ง€ ํšจ์œจ์ด ๋†’์€ ํœด๋จธ๋…ธ์ด๋“œ ๋กœ๋ด‡ ๋ณดํ–‰ ํŒจํ„ด์„ ์ƒ์„ฑํ•œ๋‹ค.Foot slippage is one of the factors responsible for the increasing instability during human walking. A slip occurs when the horizontal shear force acting on the foot becomes greater than the frictional force between the foot and the ground, which is proportional to the vertical force. For humanoid robot walking, the possibility of a slip depends upon how the horizontal shear force and vertical force both acting on the foot are designed. In the linear inverted pendulum model (LIPM), which is commonly used to generate the center of mass (COM) trajectory of humanoid robots, the vertical height of the COM is kept constant. The constant height of the COM restricts that the vertical force is always equal to the gravitational force at any walking speed. However, upon increasing the walking speed, the horizontal ground reaction force increases in proportion with the forward and lateral accelerations of the COM. This increase in the horizontal ground reaction force, while the vertical ground force is being constant, suggests that the robot-foot slippage can occur because of the restriction of the vertical motion by the LIPM constraint. By generating the appropriate vertical motion, the robot-foot slippage can be reduced during humanoid robot walking. Researchers in the field of ergonomics have been conducted studies on the relationship between the available coefficient of friction (aCOF) and the utilized coefficient of friction (uCOF) to predict the potential for a slip during human walking. The aCOF is both the static and dynamic coefficient of friction between two objects in contact, and it depends on the properties of the objects. The uCOF is the ratio of the horizontal shear force to the vertical force applied by the supporting foot. Foot slippage occurs when the uCOF exceeds the aCOF. Various types of vertical motion can set the maximum value of the uCOF to be less than the aCOF between the foot and floor for humanoid robot walking. One of the simple and energy-efficient methods is to minimize the mechanical work of the COM by introducing added vertical motion. Therefore, the COM pattern would become more energy efficient by exchanging kinetic energy and potential energy. This thesis aims to generate the appropriate vertical motion of the COM to maintain the utilized coefficient of friction (uCOF) less than the available coefficient of friction between the foot and the ground, and to minimize the mechanical work during humanoid robot walking. Before generating a slip-safe and energy-efficient COM trajectory for humanoid robot walking, studies on analyzing the COM patterns, mechanical work, and uCOF during human walking are conducted to understand the principle of walking. Vertical motions at various speeds are generated using an optimization method. Subsequently, the generated COM motion patterns are used as reference trajectories of the COM for humanoid robot walking. This thesis suggests a way to generate slip-safe and energy-efficient COM patterns, which, in turn, overcome the limitations of the LIPM by adding vertical COM motion.Chapter 1 Introduction 1 1.1 Research Background 1 1.2 Contributions of Thesis 3 1.3 Overviews of Thesis 4 Chapter 2 Dynamics of Walking 5 2.1 Walking Model 5 2.1.1 Linear Inverted Pendulum Model 5 2.1.2 Spring-Loaded Inverted Pendulum Model 6 2.1.3 Extrapolated Center of Mass Dynamics 9 2.2 Walking Theory 11 2.2.1 Step-to-Step Transition 11 Chapter 3 HumanWalking Analysis 13 3.1 Motion Capture for Walking 13 3.1.1 Motion Capture Technology 13 3.1.2 Joint Kinematics and Kinetics 15 3.2 Joint and COM During Human Walking 17 3.2.1 Introduction 17 3.2.2 Methods 19 3.2.3 Change of Joint Angle and the COM 20 3.2.4 Discussion 26 3.3 Slipping During Human Walking 27 3.3.1 Introduction 27 3.3.2 Methods 31 3.3.3 Change of uCOF and GRF 34 3.3.4 Interaction Effect Between Heel Area and Speed 36 3.3.5 Discussion 39 3.4 Mechanical Work During Human Walking 44 3.4.1 Introduction 44 3.4.2 Methods 46 3.4.3 Calculation for Joint Mechanical Work 48 3.4.4 Change of Joint Mechanical Work 51 3.4.5 Change of Stride Parameters 53 3.4.6 Discussion 54 Chapter 4 Robot Walking Pattern Generation 59 4.1 Introduction 59 4.2 Forward and Lateral COM 61 4.2.1 XcoM Method 61 4.2.2 Preview Control Method 63 4.3 Vertical COM 64 4.3.1 Calculation for uCOF 64 4.3.2 Calculation for ZMP 65 4.3.3 Calculation for COM Mechanical Work 66 4.3.4 Optimization for Vertical COM Generation 68 4.3.5 Results of Optimization for Vertical COM 73 4.4 Slipping During Robot Walking 75 4.4.1 Robot Simulation 75 4.4.2 Robot Experiments 77 4.5 Mechanical Work During Robot Walking 81 4.5.1 Robot Simulation 81 4.5.2 Robot Experiments 82 4.6 Discussion 87 4.6.1 Tracking Errors in Robot Experiments 87 4.6.2 Effect of Vertical Motions on Real Net Power 91 4.6.3 Trade-Off Between Efficiency and Stability 92 4.6.4 Difference Between Human and Robot 93 Chapter 5 Conclusions 95 Bibliography 97 Abstract (Korean) 111Docto

    Design and evaluation of a quasi-passive robotic knee brace : on the effects of parallel elasticity on human running

    Get PDF
    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.Cataloged from PDF version of thesis.Includes bibliographical references (p. 103-106).While the effects of series compliance on running biomechanics are documented, the effects of parallel compliance are known only for the simpler case of hopping. As many practical exoskeleton and orthosis designs act in parallel with the leg, it is desirable to understand the effects of such an intervention. Spring-like forces offer a natural choice of perturbation, as they are both biologically motivated and energetically inexpensive to implement. To this end, this thesis investigates the hypothesis that the addition of an external elastic element at the knee during the stance phase of running results in a reduction in knee extensor activation so that total joint quasi-stiffness is maintained. To test this, an exoskeleton is presented, consisting of a leaf spring in parallel with the knee joint and a clutch which engages this spring only during stance. The design of a custom interference clutch, made necessary by the need for high holding torque but low mass, is discussed in detail, as are problems of human attachment. The greater applicability of this clutch design to other problems in rehabilitation and augmentation is also addressed. Motion capture of four subjects is used to investigate the consequences of running with this exoskeleton. Leg stiffness is found to increase with distal mass, but no significant change in leg stiffness or total knee stiffness is observed due to the activation of the clutched parallel knee spring. However, preliminary evidence suggests differing responses between trained marathon runners, who appear to maintain biological knee torque, and recreational runners, who appear to maintain total knee torque. Such a relationship between degree of past training and effective utilization of an external force is suggestive of limitations on the applications of assistive devices.by Grant A. Elliott.Ph.D

    From cineradiography to biorobots: an approach for designing robots to emulate and study animal locomotion

    Get PDF
    Robots are increasingly used as scientific tools to investigate animal locomotion. However, designing a robot that properly emulates the kinematic and dynamic properties of an animal is difficult because of the complexity of musculoskeletal systems and the limitations of current robotics technology. Here we propose a design process that combines high-speed cineradiography, optimization, dynamic scaling, 3D printing, high-end servomotors, and a tailored dry-suit to construct Pleurobot: a salamander-like robot that closely mimics its biological counterpart, Pleurodeles waltl. Our previous robots helped us test and confirm hypotheses on the interaction between the locomotor neuronal networks of the limbs and the spine to generate basic swimming and walking gaits. With Pleurobot, we demonstrate a design process that will enable studies of richer motor skills in salamanders. In particular, we are interested in how these richer motor skills can be obtained by extending our spinal cord models with the addition of more descending pathways and more detailed limb central pattern generators (CPG) networks. Pleurobot is a dynamically-scaled amphibious salamander robot with a large number of actuated degrees of freedom (27 in total). Because of our design process, the robot can capture most of the animalโ€™s degrees of freedom and range of motion, especially at the limbs. We demonstrate the robotโ€™s abilities by imposing raw kinematic data, extracted from X-ray videos, to the robotโ€™s joints for basic locomotor behaviors in water and on land. The robot closely matches the behavior of the animal in terms of relative forward speeds and lateral displacements. Ground reaction forces during walking also resemble those of the animal. Based on our results we anticipate that future studies on richer motor skills in salamanders will highly benefit from Pleurobotโ€™s design
    • โ€ฆ
    corecore