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Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

Session WedAT1 Pegaso A Wednesday, October 10, 2012 ... - Lirmm

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<strong>Session</strong> WedCT2 Fenix 2 <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 11:00–12:30<br />

Human Performance Augumentation<br />

Chair Yasuhisa Hasegawa, Univ. of Tsukuba<br />

Co-Chair<br />

11:00–11:15 WedCT2.1<br />

Full-body Exoskeleton Robot Control<br />

for Walking Assistance by<br />

Style-phase Adaptive Pattern Generation<br />

Takamitsu Matsubara 1,2 , Akimasa Uchikata 1,2<br />

and Jun Morimoto 1<br />

1. Department of Brain Robot Interface, ATR-CNS, Japan<br />

2. Graduate School of Information Science, NAIST, Japan<br />

• Propose an adaptive walking assistance<br />

strategy using an coupled oscillator<br />

model for full-body exoskeleton robot<br />

control.<br />

• Consider the diversity of user motions<br />

and the interactions among a user, a<br />

robot, and an environment.<br />

• Adapt to time-varying user walking<br />

spatiotemporally by style-phase<br />

adaptive pattern generation.<br />

• Demonstrate that the necessary torque<br />

for the simulated user walking was<br />

reduced around 40% by using our<br />

method.<br />

Schematic diagram of our adaptive<br />

walking assistance strategy.<br />

11:30–11:45 WedCT2.3<br />

Synergy–based Optimal Design of Hand Pose<br />

Sensing<br />

Matteo Bianchi, Paolo Salaris and Antonio Bicchi<br />

Interdept. Research Center “Enrico Piaggio”, University of Pisa, Italy.<br />

Antonio Bicchi<br />

Department of Advanced Robotics, Istituto Italiano di Tecnologia, Italy.<br />

• This paper investigates the optimal design<br />

of low-cost gloves for hand pose sensing;<br />

• The cost constraints may limit both the<br />

number and the quality of sensor and<br />

technologies used;<br />

• We exploit the knowledge on how humans<br />

most frequently use their hands in<br />

grasping tasks ;<br />

• We study how and where to place sensors<br />

on the glove in order to get the maximum<br />

information about the actual hand posture.<br />

• Experiments validate the proposed optimal<br />

design.<br />

12:00–12:15 WedCT2.5<br />

Pinching Force Accuracy Affected by Thumb<br />

Sensation in Human Force Augmentation<br />

Yasuhisa Hasegawa, Tetsuri Ariyama and Kiyotaka Kamibayashi<br />

Department of Intelligent Interaction Technologies,<br />

University of Tsukuba, Japan<br />

• Confirmed contribution of thumb sensation<br />

to pinching force accuracy when it is<br />

augmented by an exoskeleton.<br />

• Proposed an exoskeleton structure to<br />

achieve high precision force control based<br />

on human sensation.<br />

• The structure transmits an assistive force<br />

to a grasping object through two paths at<br />

fixed distribution ratio.<br />

Pinching with force assistance<br />

and exoskeleton structure for<br />

accurate force control<br />

11:15–11:30 WedCT2.2<br />

Development and Evaluation of Add-On<br />

End-Effector for Linear Power Assist Unit<br />

with Variable Assist Gain<br />

Marina Kaneko, Taishi Kitano, Takahiro Wakatabe,<br />

Norihiro Kamamichi and Jun Ishikawa<br />

Department of Robotics and Mechatronics, Tokyo Denki University, Japan<br />

• Linear power assist unit easy to be<br />

designed by using an add-on end-effector<br />

• Robustly worked against human and<br />

environmental perturbations achieving an<br />

assisting bandwidth of 1 to 3 Hz<br />

• Online adjusting of the assist gain<br />

available so that the system can be easyto-use<br />

for various applications<br />

• Could be helpful in rehabilitations by<br />

tuning the load depending on the degree<br />

of recovery<br />

<strong>2012</strong> IEEE/RSJ International Conference on Intelligent Robots and Systems<br />

–140–<br />

Proposed power assist system<br />

using add-on end-effector<br />

11:45–12:00 WedCT2.4<br />

Demonstration-Based Control of Supernumerary<br />

Robotic Limbs<br />

Baldin Llorens-Bonilla and Federico Parietti<br />

Mechanical Engineering, Massachusetts Institute of Technology, USA<br />

H. Harry Asada<br />

Mechanical Engineering, Massachusetts Institute of Technology, USA<br />

• This system, called the Supernumerary<br />

Robotic Limbs (SRL), consists of two<br />

additional robotic arms worn through a<br />

backpack-like harness.<br />

• The SRL performs movements closely<br />

coordinated with the user and exhibit<br />

human-like dynamics, thus extend the<br />

worker’s range of available skills and<br />

manipulation possibilities.<br />

• Demonstration data of two workers are<br />

analyzed and, through the use of System<br />

Identifications, a state estimation<br />

algorithm is extracted.<br />

12:15–12:30 WedCT2.6<br />

Implementation of Force Sensing in a Haptic<br />

Musical Instrument Without Additional Sensors<br />

Mark Havryliv and Fazel Naghdy<br />

Faculty of Informatics, University of Wollongong, Australia<br />

Greg Schiemer<br />

School of Sound and Music Design, University of Technology, Australia<br />

• A haptic system for simulating the forcefeedback<br />

of a centuries-old carillon.<br />

• Our prototype device will allow performers<br />

to rehearse in private.<br />

• A single linear actuator for each key<br />

provides force-feedback in an admittance<br />

control scheme.<br />

• The control loop is closed by sensing force<br />

based on current being supplied to the<br />

actuator, therefore requiring no additional<br />

force sensors.<br />

• The current is filtered using Kalman<br />

estimation for precise and quick forcefeedback.<br />

The keyboard of the National<br />

Carillon, Canberra, Australia.

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