Full, R J

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Now showing 1 - 5 of 5
  • Publication
    Technical Report on: Comparative Design, Scaling, and Control of Appendages for Inertial Reorientation
    (2016-09-01) Libby, Thomas; Johnson, Aaron; Full, R J; Koditschek, Daniel E.; Chang-Siu, Evan
  • Publication
    Toward a Dynamic Vertical Climbing Robot
    (2006-09-01) Clark, Jonathan E; Goldman, Daniel I; Full, Robert J; Koditschek, Daniel E; Chen, Tao S
    Simple mathematical models or ‘templates’ of locomotion have been effective tools in understanding how animals move and have inspired and guided the design of robots that emulate those behaviors. This paper describes a recently proposed biologically-based template for dynamic vertical climbing, and evaluates the feasibility of adapting it to build a vertical ‘running’ robot. We present the results a simulation study suggesting that appropriate mechanical and control alterations to the template result in fast stable climbing that preserves the characteristic body motions and foot forces found in the template model and in animals. These design changes should also allow the robot to operate with commercially available actuators and in the same power to weight range as other running and climbing robots.
  • Publication
    Coronal Plane Spine Twisting Composes Shape To Adjust the Energy Landscape for Grounded Reorientation
    (2019-09-16) Caporale, J. Diego; McInroe, Benjamin W; Ning, Chenze; Libby, Thomas; Full, Robert J; Koditschek, Daniel E.
    Despite substantial evidence for the crucial role played by an active backbone or spine in animal locomotion, its adoption in legged robots remains limited because the added mechanical complexity and resulting dynamical challenges pose daunting obstacles to characterizing even a partial range of potential performance benefits. This paper takes a next step toward such a characterization by exploring the quasistatic terrestrial self-righting mechanics of a model system with coronal plane spine twisting (CPST). Reduction from a full 3D kinematic model of CPST to a two parameter, two degree of freedom coronal plane representation of body shape affordance predicts a substantial benefit to ground righting by lowering the barrier between stable potential energy basins. The reduced model predicts the most advantageous twist angle for several cross-sectional geometries, reducing the required righting torque by up to an order of magnitude depending on constituent shapes. Experiments with a three actuated degree of freedom physical mechanism corroborate the kinematic model predictions using two different quasistatic reorientation maneuvers for both elliptical and rectangular shaped bodies with a range of eccentricities or aspect ratios. More speculative experiments make intuitive use of the kinematic model in a highly dynamic maneuver to suggest still greater benefits of CPST achievable by coordinating kinetic as well as potential energy, for example as in a future multi-appendage system interacting with a contact-rich 3D environment.
  • Publication
    Towards Testable Neuromechanical Control of Architectures for Running
    (2008-01-01) Revzen, Shai; Koditschek, Daniel E; Full, R J
    Our objective is to provide experimentalists with neuromechanical control hypotheses that can be tested with kinematic data sets. To illustrate the approach, we select legged animals responding to perturbations during running. In the following sections, we briefly outline our dynamical systems approach, state our over-arching hypotheses, define four neuromechanical control architectures (NCAs) and conclude by proposing a series of perturbation experiments that can begin to identify the simplest architecture that best represents an animal's controller.
  • Publication
    Comparative Design, Scaling, and Control of Appendages for Inertial Reorientation
    (2016-12-01) Chang-Sui, Evan; Libby, Thomas; Full, R J; Johnson, Aaron M; Koditschek, Daniel E
    This paper develops a comparative framework for the design of an actuated inertial appendage for planar reorientation. We define the Inertial Reorientation template, the simplest model of this behavior, and leverage its linear dynamics to reveal the design constraints linking a task with the body designs capable of completing it. As practicable inertial appendage designs lead to physical bodies that are generally more complex, we advance a notion of “anchoring” whereby a judicious choice of physical design in concert with an appropriate control policy yields a system whose closed loop dynamics are sufficiently captured by the template as to permit all further design to take place in its far simpler parameter space. This approach is effective and accurate over the diverse design spaces afforded by existing platforms, enabling performance comparison through the shared task space. We analyze examples from the literature and find advantages to each body type, but conclude that tails provide the highest potential performance for reasonable designs. Thus motivated, we build a physical example by retrofitting a tail to a RHex robot and present empirical evidence of its efficacy. For more information: Kod*lab