Page 23 - ASME DSCC 2015 Program
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Technical Program




              Velocity Control of a Cylindrical Rolling Robot by Surface-Morphing  A uniform Control for Tracking and Point to Point Stabilization of
              Contributed regular paper. DSCC2015-9783               differential drive robots Subject to hard Input constraints
              Michael Puopolo, Jamey Jacob, Oklahoma State University, Stillwater, OK,   Contributed regular paper. DSCC2015-9925
              United States                                          Amin Zeiaee, Rana Soltani Zarrin, Reza langari, Texas A&M  University,
                                                                     College Station, TX, United States, Suhada Jayasuriya, Drexel University,
              Velocity Control of a Cylindrical Rolling Robot by Surface-Morphing
                                                                     Philadelphia, PA, United States
              Spring-Mass Walking With ATRIAS in 3D: Robust Gait Control Spanning
                                                                     This paper develops a unified framework for point stabilization and tracking
              Zero to 4.3 KPH on a Heavily underactuated Bipedal Robot
                                                                     control of differential drive robots under hard input constraints. The pro-
              Contributed regular paper. DSCC2015-9899
                                                                     posed control strategy is based on the recently introduced Pointwise Angle
              Siavash Rezazadeh, Christian Hubicki, Mikhail Jones, Andrew Peekema,   Minimization method and addresses the steering problem by studying a
              Johnathan Van Why, Andy Abate, Jonathan Hurst, Oregon State   robot’s achievable directions of motion considering the constraints imposed
              University, Corvallis, OR, United States
                                                                     on it. To illustrate the strength of the proposed framework, a new control
              We present a reduced-order approach for robust, dynamic, and efficient   problem which combines the posture stabilization and tracking control is
              bipedal locomotion control, culminating in 3D balancing and walking   studied. The problem of interest is steering a constrained-input mobile robot
              with ATRIAS, a heavily underactuated legged robot. These results are a   from an initial point towards a final point on a desired trajectory while regu-
              development toward solving a number of enduring challenges in bipedal   lating the robot’s heading such that the control convergence is guaranteed
              locomotion: achieving robust 3D gaits at various speeds and transitioning   within the admissible input space. Inspired by the geometry of sliding mode
              between them, all while minimally draining on-board energy supplies. Our   control, this paper proposes a new control strategy for this problem. The
              reduced-order control methodology works by extracting and exploiting   stability of the closed loop system under the proposed steering scheme is
              general dynamical behaviors from the spring-mass model of bipedal walk-  proved by Lyapunov analysis for the shortest path trajectory and generaliza-
              ing. When implemented on a robot with spring-mass passive dynamics, e.g.   tion to the case of arbitrarily chosen desired trajectory has been proposed.
              ATRIAS, this controller is sufficiently robust to balance while subjected to   Finally, effectiveness of the discussed control strategies are illustrated by
              pushes, kicks, and successive dodgeball strikes. The controller further al-  several simulation results.
              lowed smooth transitions between stepping in place and walking at a variety
                                                                     Robotic Cat free fall: Semi-flat Path Planning and neural network
              of speeds (up to 1.2 m/s). The resulting gait dynamics also match qualitatively
                                                                     Model Based Adaptive Control
              to the reduced-order model, and additionally, measurements of human
                                                                     Contributed regular paper. DSCC2015-9955
              walking. We argue that the presented locomotion performance is compelling
              evidence of the effectiveness of the presented approach; both the control   Seyedmohammadhadi Sadati, King’s College London, London, United
                                                                     Kingdom, Ali Meghdari, Sharif University of Tech, Tehran, Iran
              concepts and the practice of building robots with passive dynamics to
              accommodate them.                                      Dynamic of a cat free fall, as it twists its body and lands on four legs, is
                                                                     interesting to be studied and can be a source of inspiration in robotics and
              Simultaneous Stabilization of Pitch and Yaw of a Gliding Robotic fish
              using Sliding Mode Control                             aerospace research. In this paper, kinematic and dynamic equations of
                                                                     this maneuver are derived using quaternions for a simple two-link model,
              Contributed regular paper. DSCC2015-9914
                                                                     a three-link model with tail, and a more complete eight-link model with the
              Maria castano, xiaobo Tan, Michigan State University, East Lansing, MI,   addition of legs. The system semi-flat kinematic equations are derived and
              United States
                                                                     an optimization based path planning approach using discrete direct single
              Oceanic sustainability has been a growing global concern due to the   shooting method is presented in the presence of geometric, kinematic and
              increase of potential threats to the integrity of aquatic ecosystems. As a   dynamic constraints. We showed the maneuver performance improves in
              result more attention has been paid to the monitoring of such environments,   the presence of tail while there is no considerable advantage in the legs
              leading to the need for autonomous aquatic robots that are capable of    motion. To compensate the uncertainties of the model, an extended Kalman
              monitoring them in an efficient and accurate manner. A gliding robotic fish    filter in combination to an off-line model-based neural network identification
              is a type of underwater robot that stems from combining the energy-   method is used. Then a model-based neural network controller is proposed
              efficient underwater glider with the highly maneuverable robotic fish.  For   to satisfy the control purpose. The methods stability and performance are
              accurate trajectory control and precise sensor measurement, stabilization   investigated numerically. Finally, the model parameters are optimized to
              of both pitch and yaw during gliding is of great importance. In this paper we   improve the maneuver performance and the advantageous of light and
              propose a multi-input-multi-output sliding mode controller for simultaneous    symmetric body design is shown. The model is verified in comparison to a
              stabilization of pitch and yaw. In this design, the outputs of both actuators,   simulation in MSC.ADAMS software.
              tail angle and center of gravity, are determined by the errors in both pitch
              and yaw. The effectiveness of the proposed approach is demonstrated via
              simulation with comparison to several alternative designs, including a pair
              of sliding mode controllers dealing with yaw and pitch separately, and a PI
              controller.


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