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> WedAT8 Gemini 1 <strong>Wednesday</strong>, <strong>October</strong> <strong>10</strong>, <strong>2012</strong>, 08:30–09:30<br />
Dynamics and Control I<br />
Chair<br />
Co-Chair<br />
08:30–08:45 WedAT8.1<br />
Contribution to the modeling of Cablesuspended<br />
Parallel Robot hanged on the four<br />
points<br />
Mirjana Filipovic,Mihajlo Pupin Institute, University of Belgrade, Serbia,<br />
Ana Djuric,Wayne State University , Detroit, MI 48202, U.S.A.,<br />
Ljubinko Kevac,School of Electrical Engineering, The University of Belgrade,<br />
Serbia<br />
• The kinematic and dynamic model of the<br />
Cable-suspended Parallel Robot - CPR<br />
system is generated via Jacobi matrix.<br />
• The dynamical model is calculated by<br />
mapping the resultant forces which are<br />
acting on the shaft of each motor and<br />
forces acting on a camera carrier by the<br />
Jacobi matrix.<br />
• The software packages AIRCAMA has<br />
been used to verify the selection of motors<br />
for any size of workspace, any weight or<br />
desired velocity of a camera carrier, and<br />
so on.<br />
z<br />
y<br />
O<br />
wall anchor<br />
contour of the workspace<br />
y<br />
x<br />
. O<br />
z x<br />
A<br />
motorized winch 4<br />
of fiber-optic kablae<br />
fiber-optic cable<br />
camera platform<br />
winch 4<br />
motor 4<br />
winch 3<br />
motor 3<br />
motorized<br />
winch-1<br />
CPR, a) in 3D b) top view<br />
winch 1<br />
camera platform<br />
motor 1<br />
contour of the workspace<br />
motor 2<br />
winch 2<br />
s<br />
pulleys<br />
v<br />
motorized<br />
winch-2<br />
θ 2<br />
θ 3<br />
θ 1 motorized<br />
winch-3<br />
09:00–09:15 WedAT8.3<br />
Planning Trajectories on Uneven Terrain using<br />
Optimization and Non-Linear Time Scaling<br />
Techniques<br />
Arun. K. Singh + , K. Madhava Krishna + and Srikanth Saripalli ++<br />
+ Robotics Research Centre IIIT-Hyderabad, India<br />
++ ASTRIL Arizona State University, U.S.A<br />
• A path is computed in terms of some<br />
parametric functions in terms of some<br />
variable u<br />
• A transformation from the variable u to<br />
time t is done through a scaling function<br />
h(u)<br />
• A novel scaling function in the form h(u) =<br />
a*exp(b*u) is proposed.<br />
• Framework for choosing appropriate a and<br />
b is proposed.<br />
• The resulting velocity and acceleration<br />
through scaling function satisfy stability<br />
constraints.<br />
pulleys<br />
k<br />
n<br />
k<br />
wall anchor<br />
n<br />
d<br />
a)<br />
b)<br />
h<br />
m<br />
θ 4<br />
h<br />
Vehicle evolving on Uneven<br />
terrain along a stable path<br />
m<br />
08:45–09:00 WedAT8.2<br />
Modeling and Control of a Flying Robot<br />
for Contact Inspection<br />
Matteo Fumagalli and Raffaella Carloni and Stefano Stramigioli<br />
Robotics And Mechatronics, University of Twente, The Netherlands<br />
Roberto Naldi and Alessandro Macchelli and Lorenzo Marconi<br />
CASY, University of Bologna, Italy<br />
Analysis of the Interaction<br />
of<br />
Quadrotor UAV enhanced<br />
with<br />
a multi-DoF Manipulator,<br />
with<br />
a R emote Environment<br />
• Modeling of the Flying Robot<br />
• Control of a floating base<br />
manipulation system for<br />
physical interaction<br />
• E xperimental Validation<br />
09:15–09:30 WedAT8.4<br />
Distributed Voronoi partitioning for multi-robot<br />
systems with limited range sensors<br />
K.R. Guruprasad<br />
Department of Mechanical Engineering, National Institute of Technology<br />
Karnataka, Surathkal, India<br />
Prithviraj Dasgupta<br />
Department of Computer Science, University of Nebraska, Omaha, USA<br />
• Each robot constructs the<br />
corresponding range constrained<br />
Voronoi cell in a distributed<br />
manner.<br />
• Only the positional information<br />
about the robots within<br />
communication range is used.<br />
• Communication range should be at<br />
least twice that of the sensor<br />
range.<br />
• Relative position in polar<br />
coordinate system is used.<br />
• Structured and efficient<br />
computation of Voronoi cells.<br />
<strong>2012</strong> IEEE/RSJ International Conference on Intelligent Robots and Systems<br />
–126–<br />
Range constrained Voronoi cell<br />
constructed using the proposed algorithm