Peer-Reviewed Journal Papers

  • Evaluation of Transradial Body-Powered Prostheses Using a Robotic Simulator
    R. Ayub, D. Villarreal, R. Gregg, and F. Gao. Prosthetics & Orthotics International, 2015, under review.

    Abstract: Background: Transradial body powered prostheses are extensively used by upper limb amputees. This prosthesis requires large muscle forces and great concentration by the patient, often leading to discomfort, muscle fatigue, and skin breakdown, limiting the capacity of the amputee to conduct daily activities. Since body-powered prostheses are commonplace, understanding their optimal operation to mitigate these drawbacks would be clinically meaningful. Objectives: Find the optimal operation of the prosthesis where the activation force is minimized and the grip force is maximized. Study Design/Methods: A computer-controlled robotic amputee simulator capable of rapidly testing multiple elbow, shoulder, and scapular combinations of the residual human arm was constructed. It was fitted with a transradial prosthesis and used to systematically test multiple configurations. Results: We found that increased shoulder flexion, scapular abduction, elbow extension, and the placement of the ring harness near the vertebra C7 correlates with higher gripper operation efficiency, defined as the relation between grip force and cable tension. Conclusions: We conclude that force transmission efficiency is closely related to body posture configuration. These results could help guide practitioners in clinical practice as well as motivate future studies in optimizing the operation of a body-powered prosthesis.

  • Virtual Constraint Control of a Powered Prosthetic Leg: From Simulation to Experiments with Transfemoral Amputees
    R. Gregg, T. Lenzi, L. Hargrove, and J. Sensinger. IEEE Transactions on Robotics, 30(6): 1455-1471, 2014, doi: 10.1109/TRO.2014.2361937.
    (PDF, Experiment Movie)

    Abstract: Recent powered (or robotic) prosthetic legs independently control different joints and time periods of the gait cycle, resulting in control parameters and switching rules that can be difficult to tune by clinicians. This challenge might be addressed by a unifying control model used by recent bipedal robots, in which virtual constraints define joint patterns as functions of a monotonic variable that continuously represents the gait cycle phase. In the first application of virtual constraints to amputee locomotion, this paper derives exact and approximate control laws for a partial feedback linearization to enforce virtual constraints on a prosthetic leg. We then encode a human-inspired invariance property called effective shape into virtual constraints for the stance period. After simulating the robustness of the partial feedback linearization to clinically meaningful conditions, we experimentally implement this control strategy on a powered transfemoral leg. We report the results of three amputee subjects walking overground and at variable cadences on a treadmill, demonstrating the clinical viability of this novel control approach.

  • Evidence for a Time-Invariant Phase Variable in Human Ankle Control
    R. Gregg, E. Rouse, L. Hargrove, and J. Sensinger. PLoS ONE 9(2):e89163, 2014, doi:10.1371/journal.pone.0089163. (Full Text Open Access)

    Abstract: Human locomotion is a rhythmic task in which patterns of muscle activity are modulated by state-dependent feedback to accommodate perturbations. Two popular theories have been proposed for the underlying embodiment of phase in the human pattern generator: a time-dependent internal representation or a time-invariant feedback representation (i.e., reflex mechanisms). In either case the neuromuscular system must update or represent the phase of locomotor patterns based on the system state, which can include measurements of hundreds of variables. However, a much simpler representation of phase has emerged in recent designs for legged robots, which control joint patterns as functions of a single monotonic mechanical variable, termed a phase variable. We propose that human joint patterns may similarly depend on a physical phase variable, specifically the heel-to-toe movement of the Center of Pressure under the foot. We found that when the ankle is unexpectedly rotated to a position it would have encountered later in the step, the Center of Pressure also shifts forward to the corresponding later position, and the remaining portion of the gait pattern ensues. This phase shift suggests that the progression of the stance ankle is controlled by a biomechanical phase variable, motivating future investigations of phase variables in human locomotor control.

Peer-Reviewed Conference Proceedings

  • Orthotic Body-Weight Support Through Underactuated Potential Energy Shaping with Contact Constraints
    G. Lv and R. Gregg. Submitted to IEEE Conf. Decision & Control, Japan, 2015.
  • Unifying the Gait Cycle in the Control of a Powered Prosthetic Leg
    D. Quintero, A. Martin, and R. Gregg. Submitted to IEEE Int. Conf. Rehabilitation Robotics, Singapore, 2015.

    Abstract: This paper presents a novel control strategy for an above-knee powered prosthetic leg that unifies the entire gait cycle, eliminating the need to switch between controllers during different periods of gait. Current control methods divide the gait cycle into several sequential periods each with independent controllers, resulting in many patient-specific control parameters and switching rules that must be tuned by clinicians. Having a single controller could reduce the number of control parameters to be tuned for each patient, thereby reducing the clinical time and effort involved in fitting a powered prosthesis for a lowerlimb amputee. Using the Discrete Fourier Transformation, a single virtual constraint is derived that exactly characterizes the desired actuated joint motion over the entire gait cycle. Because the output of the virtual constraint is defined as a periodic function of a monotonically increasing phase variable, no switching or resetting is necessary within or across gait cycles. The output function is zeroed using feedback linearization to produce a single, unified controller. The method is illustrated with simulations of a powered knee-ankle prosthesis in an amputee biped model and examples of systematically generated output functions for different walking speeds.

  • A Perturbation Mechanism for Investigations of Phase-Dependent Behavior in Human Locomotion
    D. Villarreal, D. Quintero, and R. Gregg. Submitted to IEEE Int. Conf. Rehabilitation Robotics, Singapore, 2015.

    Abstract: The concept of a phase variable, a mechanical measurement of the body's progression through the gait cycle, has been used to parameterize the leg joint patterns of autonomous bipedal robots, producing human-like gaits with robustness to external perturbations. It was recently proposed that the kinematic response of humans to a perturbation could also be parameterized by a phase variable. In order to properly study this phase variable hypothesis with human subjects, a custom perturbation mechanism must be built to cause phase shifts in the gait cycle. The main goals of this study are to introduce the design of a novel perturbation mechanism and experimentally demonstrate its ability to effect phase changes during the gait cycle.

  • A Unified Phase Variable for Non-Steady Gait Analysis
    D. Villarreal and R. Gregg. Submitted to IEEE Int. Conf. Rehabilitation Robotics, Singapore, 2015.

    Abstract: The gait analysis community typically considers the gait cycle as a periodic sequence of discrete events parameterized over time, but this parameterization is not robust to perturbations that push the gait cycle forward or backwards (i.e., changes in phase). In contrast, a growing portion of the biped robotics community considers gait as a continuous process driven by a monotonic mechanical variable (i.e., a phase variable). Recent studies have attempted to extend this concept to human locomotion, specifically for gait analysis and prosthetic control, but it remains unknown what variables can accurately represent the phase of human gait across perturbations. Previously proposed phase variables are not suitable for parameterizing the entire gait cycle because of their piecewise monotonic nature, requiring the stance and swing periods to be separated. Hence, this paper develops a new approach for gait analysis by defining the desired behavior of a unified phase variable during non-steady gait and subsequently deriving one such variable based on the phase angle of the hip's periodic trajectory. We hypothesize that this construction can properly parameterize the leg joints over the phase domain of the entire gait cycle. Perturbation experiments are conducted with three able-bodied human subjects to validate that the candidate variable satisfies the desired properties of a unified phase variable.

  • Hybrid Invariance and Stability of a Feedback Linearizing Controller for Powered Prostheses
    A. Martin and R. Gregg. To appear in American Control Conf., Chicago, IL, 2015. (PDF)

    Abstract: The development of powered lower-limb prostheses has the potential to significantly improve amputees' quality of life. By applying advanced control schemes, such as hybrid zero dynamics (HZD), to prostheses, more intelligent prostheses could be designed. Originally developed to control bipedal robots, HZD-based control specifies the motion of the actuated degrees of freedom using output functions to be zeroed, and the required torques are calculated using feedback linearization. Previous work showed that an HZD-like prosthesis controller can successfully control the stance period of gait. This paper shows that an HZD-based prosthesis controller can be used for the entire gait cycle and that feedback linearization can be performed using only information measured with on-board sensors. An analytic metric for orbital stability of a twostep periodic gait is developed. The results are illustrated in simulation.

  • Simultaneous Control of Virtual Constraints for Ankle-Foot Prostheses
    A. Nanjangud and R. Gregg. In Invited Session on Physical Human-Robot Interactions, ASME Dynamic Systems & Control Conf., San Antonio, TX, 2014.

    Abstract: Amputee locomotion can benefit from recent advances in robotic prostheses, but their control systems design poses challenges. Prosthesis control typically discretizes the nonlinear gait cycle into phases, with each phase controlled by different linear controllers. Unfortunately, real-time identification of gait phases and tuning of controller parameters limit implementation. Recently, biped robots have used phase variables and virtual constraints to characterize the gait cycle as a whole. Although phase variables and virtual constraints could solve issues with discretizing the gait cycle, the virtual constraints method from robotics does not readily translate to prosthetics because of hard-to-measure quantities, like the interaction forces between the user and prosthesis socket, and prosthesis parameters which are often altered by a clinician even for a known patient. We use the simultaneous stabilization approach to design a low-order, linear time-invariant controller for ankle prostheses independent of such quantities to enforce a virtual constraint. We show in simulation that this controller produces suitable walking gaits for a simplified amputee model.

  • A Survey of Phase Variable Candidates of Human Locomotion
    D. Villarreal and R. Gregg. In IEEE Engineering in Medicine and Biology Conference, Chicago, IL, 2014. (PDF)

    Abstract: Studies show that the human nervous system is able to parameterize gait cycle phase using sensory feedback. In the field of bipedal robots, the concept of a phase variable has been successfully used to mimic this behavior by parameterizing the gait cycle in a time-independent manner. This approach has been applied to control a powered transfemoral prosthetic leg, but the proposed phase variable was limited to the stance period of the prosthesis only. In order to achieve a more robust controller, we attempt to find a new phase variable that fully parameterizes the gait cycle of a prosthetic leg. The angle with respect to a global reference frame at the hip is able to monotonically parameterize both the stance and swing periods of the gait cycle. This survey looks at multiple phase variable candidates involving the hip angle with respect to a global reference frame across multiple tasks including level-ground walking, running, and stair negotiation. In particular, we propose a novel phase variable candidate that monotonically parameterizes the whole gait cycle across all tasks, and does so particularly well across level-ground walking. In addition to furthering the design of robust robotic prosthetic leg controllers, this survey could help neuroscientists and physicians study human locomotion across tasks from a time-independent perspective.

  • Biomimetic Virtual Constraint Control of a Transfemoral Powered Prosthetic Leg
    R. Gregg and J. Sensinger. In American Control Conference, Washington, DC, 2013. (PDF, Simulation Movie)

    Abstract: This paper presents a novel control strategy for a powered knee-ankle prosthesis based on biomimetic virtual constraints. We begin by deriving kinematic constraints for the "effective shape" of the human leg during locomotion. This shape characterizes ankle and knee motion as a function of the Center of Pressure (COP)--the point on the foot sole where the ground reaction force is imparted. Since the COP moves monotonically from heel to toe during steady walking, we adopt the COP as the phase variable of an autonomous feedback controller. We show that our kinematic constraints can be enforced virtually by an output linearizing controller that uses only feedback available to sensors onboard a prosthetic leg. This controller produces walking gaits with human-like knee flexion in simulations of a 6-link biped with feet. Hence, both knee and ankle control can be coordinated by one simple control objective: maintaining a constant-curvature effective shape.

  • Experimental Effective Shape Control of a Powered Transfemoral Prosthesis
    R. Gregg, T. Lenzi, N. Fey, L. Hargrove, and J. Sensinger. In IEEE International Conference on Rehabilitation Robotics, Seattle, WA, 2013.
    (PDF, Experiment Movie)

    Abstract: This paper presents the design and experimental implementation of a novel feedback control strategy that regulates effective shape on a powered transfemoral prosthesis. The human effective shape is the effective geometry to which the biological leg conforms--through movement of ground reaction forces and leg joints--during the stance period of gait. Able-bodied humans regulate effective shapes to be invariant across conditions such as heel height, walking speed, and body weight, so this measure has proven to be a very useful tool for the alignment and design of passive prostheses. However, leg joints must be actively controlled to assume different effective shapes that are unique to tasks such as standing, walking, and stair climbing. Using our previous simulation studies as a starting point, we model and control the effective shape as a virtual kinematic constraint on the powered Vanderbilt prosthetic leg with a custom instrumented foot. An able-bodied subject used a by-pass adapter to walk on the controlled leg over ground and over a treadmill. These preliminary experiments demonstrate, for the first time, that effective shape (or virtual constraints in general) can be used to control a powered prosthetic leg.

Conference Presentations

  • The Hypothesis of Feedback Pattern Generation in Human Locomotion
    R. Gregg, E. Rouse, L. Hargrove, and J. Sensinger. In Dynamic Walking Conference, Pittsburgh, PA, June 2013. (Abstract PDF, Talk Video)

Visit the PI's personal publication page for past publications.