Page 205 - Human Inspired Dexterity in Robotic Manipulation
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204   Index


          Dual-arm manipulator, 187–188       embedded gripper, versatile
            motions, 193                         grasping by, 136–144
          Ductile objects, prevention of      enveloping mode, 139, 139–141f
                fracture on, 125–135          grasping test, 125, 126f
          Dynamic environment, 62–63          parallel gripper mode, 139, 139–141f
            reaching movement in, 62f,64–65   pinching mode, 139, 139–141f
          Dynamics of robots, 6               and soft object (tofu), interaction,
                                                 130f
                                              stiffness of, 118–120, 118f
          E                                   structure of, 116–118, 116–117f
          Elastic joint, 98–99                underactuated soft gripper utilizing,
          Electromyography (EMG) signals, 90     136–140, 136f, 138f
          Endoscopic surgical robot, 53       uniform contact pressure of, 120–125
          Equation of motion, for robotics, 6  Fluid pressure detection, 129–132, 132f
          Error-based learning, 29          Forward internal models, 29
          Euler-Lagrange equation, 64–65    Fracture avoidance concept, 126–128
          Extensor tendons, 94–96, 94f,96f  Fragile objects, prevention of
                                                 fracture on, 125–135
                                            Frictional-point contact model, 152
          F                                 Friction-cone model, 152
          Finger-object system, dynamics and
                equilibrium points of, 153–154
          Fingers, active movements of, 14  G
          Finger-thumb opposability         Generalization, 30–31, 41–42
            control law based on, 170–174   Grasp(ing), 149–150
              conditions for convergence of desired  blind, 162
                state, 173–174                controller, 149
              control input, 171–173          multifingered hand-arm system, 167–168,
              time delays, 170–171, 171f         168f
          Fingertip                           planner, 188–189
            contact models of, 153f           posture, 22
            fluid (see Fluid fingertip)       power, 150
            trajectories, biomimetic robotic hand  precision (see Precision grasp)
                performance, 108–111, 108–110f  stable-object, 165–167
          Flexible object, 62                 style, 5, 5f
            multimass, 72                     superposition of lower priority tasks to
            parallel, 63, 81                     stable, 158–159, 159f
            single mass, 63                   test, 125, 126f, 141f, 142t
            two-mass, 63, 72–73                for soft (Kinugoshi) tofu, 134, 134f,
          Flexor tendons, 94–96, 94f,96f         135t
          Fluid fingertip                     weight, 5
            compression test with, 119f, 128–129,  Grasping and manipulation, 165–167
                128–129f                      experiments, 179–183, 180t,
            contact with flat surface, 120–123,  181–183f
                121–122f                      numerical simulation, 174–179,
            contact with line surface, 123–125,  175–176t, 177–179f
                123–125f                      supervisory control and autonomy of,
            and control unit, 118f               159–162, 160–161f
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