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