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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> WedGT9 Fenix 1 <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 17:30–18:30<br />

Control of Wheeled Robots II<br />

Chair Franz Dietrich, Tech. Univ. Braunschweig<br />

Co-Chair<br />

17:30–17:45 WedGT9.1<br />

A Novel Approach For Steeringwheel<br />

Synchronization With Velocity/Acceleration<br />

Limits And Mechanical Constraints<br />

Ulrich Schwesinger, Cédric Pradalier and Roland Siegwart<br />

Autonomous Systems Lab, ETH Zurich, Switzerland<br />

• An algorithm for steeringwheel<br />

synchronization of over-actuated pseudoomnidirectional<br />

rovers is presented.<br />

• Constraints on velocity and acceleration of<br />

the steering units are taken into account.<br />

• The constraints are satisfied via a<br />

compliant control of the instantaneous<br />

center of rotation.<br />

• The performance of the synchronization<br />

algorithm is evaluated on a breadboard for<br />

the ExoMars mission.<br />

ExoMars rover - phase B1<br />

concept, source: ESA/Cluster<br />

18:00–18:15 WedGT9.3<br />

Disturbance Compensation in Pushing, Pulling,<br />

and Lifting for Load Transporting Control of a<br />

Wheeled Inverted Pendulum Type Assistant<br />

Robot Using The Extended State Observer<br />

Luis Canete and Takayuki Takahashi<br />

Graduate School of Symbiotic Systems Science,<br />

Fukushima University, Japan<br />

• The system is an Inverted<br />

PENdulum Type Assistant Robot<br />

(I-PENTAR).<br />

• The system is designed to use its<br />

balance to apply large torques and<br />

forces.<br />

• Uses the Extended State Observer<br />

to compensate for disturbances<br />

during performance of tasks.<br />

• Tests for impulse and step<br />

disturbances were applied to test<br />

the system robustness.<br />

• The robot is able to push and pull<br />

14kg loads up a ramp and lift up to<br />

7.5kg loads.<br />

I-PENTAR and the proposed<br />

pushing/pulling and lifting tasks<br />

17:45–18:00 WedGT9.2<br />

Wheeled Inverted-Pendulum-Type Personal Mobility Robot<br />

with Collaborative Control of Seat Slider and Leg Wheels<br />

Nobuyasu Tomokuni<br />

Department of Intelligent Mechanical Engineering,<br />

Faculty of Engineering, Kinki University, Japan.<br />

Motoki Shino<br />

Department of Mechanical Engineering, The University of Tokyo, Japan.<br />

• This paper describes a motion control that<br />

realizes more stability and comfortability<br />

for a personal mobility robot (PMR).<br />

• The PMR has a unique mechanism that<br />

consists of two independent leg wheels<br />

and a seat slider for inverted pendulum<br />

type mobility.<br />

• This mechanical features can achive more<br />

compactness and capacity to support both<br />

indoor and outdoor mobilities.<br />

• We propose whole body collaborative<br />

controler based on the linear-quadratic<br />

regulator from a three-dimensional<br />

kinematics model of the PMR.<br />

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

–191–<br />

Personal mobility robot (PMR)<br />

18:15–18:30 WedGT9.4<br />

A 3D Dynamic Model of a Spherical Wheeled<br />

Self-Balancing Robot<br />

Ali Nail İnal and Ömer Morgül<br />

Dept. of Electrical & Electronics Eng., Bilkent University, Turkey<br />

Uluç Saranlı<br />

Dept. of Computer Eng., Middle East Technical University, Turkey<br />

• A new coupled 3D Ballbot model capable<br />

of capturing significant yaw rotations is<br />

introduced<br />

• Equations of motion for the new model are<br />

derived, incorporating Ballbot specific<br />

constraints<br />

• New inverse-dynamics controllers for<br />

accurately controlling attitude variables are<br />

investigated in simulation<br />

• Relations between circular motions in<br />

attitude variables and associated motions<br />

in positional variables is investigated,<br />

exposing increased expressivity of the<br />

new model.<br />

The coupled 3D Ballbot model

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