Page 62 - ASME DSCC 2015 Program
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Technical Program




              to the performance of the traditional UI.  When asked to self-report UI pref-  ing the local community in science-based activities.
              erence: 26 participants stated they preferred the CRC UI, 6 preferred the
                                                                     Deployment of a Robotic fish Platform in Informal Science learning
              traditional UI, and 14 had no preference.  Although the current iteration of
                                                                     Contributed regular paper. DSCC2015-9751
              the CRC UI offered no measurable performance improvements, a remapping
                                                                     paul phamduy, Maurizio porfiri, New York University Polytechnic School
              of the CRC joystick inputs to the end effector motion could make the CRC   of Engineering, Brooklyn, NY, United States, Catherine Milne, Mary leou,
              UI more intuitive, lead to better performance metrics, and make hydraulic
                                                                     New York University Steinhardt School of Culture, Education, and Human
              excavators safer, more efficient, and easier to use.
                                                                     Development, New York, NY, United States
              Investigation of energy efficiency in force control of pneumatic
                                                                     This study explores the deployment of one such platform featuring a robotic
              Actuators
                                                                     fish at informal science learning events and venues. We examine the usage
              Contributed regular paper. DSCC2015-9926
                                                                     of three control modes, varying in their degree of interactivity, implemented
              Behzad Taheri, David Case, Edmond Richer, Southern Methodist   through an iDevice application for maneuvering a robotic fish. Specifical-
              University, Dallas, TX, United States                  ly, we evaluate the time spent by visitors on three control modes of the
              Investigation of Energy Efficiency in Force Control of Pneumatic Actuators  platform at informal science learning event and venues, and the distribution
                                                                     of the demographics of the users. This preliminary study is conducted to
              A Continuous-field Actuation Method for Transducing optical Color   assess the user interest among the control modes.
              Images to Magnetic/Eddy-Current Patterns
              Contributed regular paper. DSCC2015-9958               Model Predictive Control-Based Probabilistic Search Method for
                                                                     Autonomous Ground Robot in a Dynamic Environment
              Kok Meng lee, Georgia Institute of Technology, Norcross, GA, United
              States, Chun-Yeon lin, Min li, Georgia Institute of Technology, Atlanta, GA,   Contributed regular paper. DSCC2015-9814
              United States                                          Chang liu, J. Karl Hedrick, University of California, Berkeley, Berkeley, CA,
                                                                     United States, Shengbo Eben li, Tsinghua University, Beijing, China
              Motivated by two applications (retinal prosthesis and nondestructive dam-
              age detection), this research develops a new actuator utilizing magnetic/  Target search using autonomous robots is an important application for
              electric fields as media to enable open-loop induction control of a relatively   both civil and military scenarios. In this paper, a model predictive control
              high-resolution eddy-current pattern on an electrically conductive sur-  (MPC)-based probabilistic search method is presented for a ground robot to
              face with a relatively small number of electromagnets (EMs). The actuator   localize a stationary target in a dynamic environment. The robot is equipped
              referred to here as a magnetic/eddy-current (M/EC) continuous field scanner   with a binary sensor for target detection, of which the uncertainties of binary
              transduces an image into an M/EC pattern induced by a two-dimensional   observation are modeled as a Gaussian function. Under the model predic-
              EM array. Unlike traditional digital stimulation devices where the spatial   tive control framework, the probability map of the target is updated via the
              resolution is defined by discrete spacing between two adjacent electrodes,   recursive Bayesian estimation and the collision avoidance with obstacles is
              the continuous-field scanner accurately controls the synthesized M/EC fields   enforced using barrier functions. By approximating the updated probability
              between adjacent EMs. Along with a detailed presentation of an analytical   map using a Gaussian Mixture Model, an analytical form of the objective
              model and its inverse solutions to enable the continuous-field scanning, this   function in the prediction horizon is derived, which is promising to reduce
              paper presents a numerical study to investigate the effects of key design   the computation complexity compared to numerical integration methods.
              parameters, and some preliminary experimental results to validate the con-  The effectiveness of the proposed method is demonstrated by performing
              cept feasibility of the proposed method.               simulations in dynamic scenarios with both static and moving obstacles.
                                                                     The Stick-Slip Motion of a Chaplygin Sleigh With a Piecewise Smooth
              ConTRIBuTED SESSIon
              1-21-1  TP5  unmanned, Ground and Surface Robotics     nonholonomic Constraint
              Emerson Burkhart A                      4:00pm–6:00pm  Contributed regular paper. DSCC2015-9820
                                                                     Vitaliy fedonyuk, Phanindra Tallapragada, Clemson University, Clemson,
              Session Chair: Garrett Clayton, Villanova University   SC, United States
              Session Co-Chair: Hanz Richter, Cleveland State University  The Chaplygin sleigh is a canonical problem of mechanical systems with
                                                                     nonholonomic constraints, which arises due to the role of friction. The
              a robotic Vehicle for aquatic environmental Monitoring
                                                                     motion of the cart has often been studied under the assumption that the
              Contributed regular paper. DSCC2015-9748
                                                                     magnitude of friction is as high as necessary to prevent slipping. We relax
              jeffrey Laut, Ben high, oded Nov, Maurizio porfiri, New York University   this assumption by setting a maximum finite value to the friction. The Chap-
              Polytechnic School of Engineering, Brooklyn, NY, United States  lygin sleigh is then under a piecewise smooth nonholonomic constraint
              Here, we describe an aquatic mobile robot for data collection in a polluted   and transitions between `slip’  and `stick’ modes. We investigate these
              waterway. The robot is part of an environmental monitoring project known   transitions and the resulting non smooth dynamics of the system. Further
              as ‘Brooklyn Atlantis,’ and collects water quality data and images within   more the piecewise smooth constraint offers the possibility of controlling the
              the Gowanus Canal in Brooklyn, NY. Water quality is analyzed offline, while   orientation and speed of the sleigh and we investigate this with numerical
              images are classified using citizen science through a web-based interface.   simulations.
              To provide an added degree of interactivity to the participants of the project,
              an automated pan-tilt camera rig is developed, capable of providing 360
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              degree panorama photos that can be manipulated by a user. Beyond data
              collection, the robot serves as a useful tool for outreach and directly engag-
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