Arm control / Planning

manfredarm

Description

The Light Weight Robot UC3M-1 (LWR-UC3M-1) is a robotic arm with 6 degrees of freedom that allows the robot to do manipulation tasks in human environments. Its main features are the following:

  • Kinematic chain similar to the human one.
  • Total weight of 18 kilograms.
  • Maximum load capability of 4.5 kilograms at the end effector.
  • Maximum distance reached around 955 millimeters.

The low-level control of the arm is done with a PMAC PCI control target which allows simultaneous control of 8 motors. Besides, different high level kinematic control techniques have been developed in order to generate the required trajectories for multiple tasks. Among these techniques, the most important ones are:

  • Cartesian control based on the analytical Jacobian matrix, which gives us the relationship between the cartesian velocities at the end effector and the required velocities in the articulations in order to execute the required trajectory. This control scheme is based on the one proposed by Sciavicco y Siciliano in “Modelling and control of robot manipulators”, 2005.
  • Cartesian control based on the the calculation of the inverse kinematics of the manipulator using evolutionary algorithms. In this case, the Differential Evolution algorithm is used to calculate the motors positions that allow the end effector to reach the desired cartesian point in the space.

Laser Scan

Entries:
General Path Planning Methodology for Leader-Followers based Robot Formations
International Journal of Advanced Robotic Systems. num. 64 , vol. 10 , pages: 1 – 10 , 2013
S. Garrido L. Moreno J.V. Gomez P. Lima
Planning Robot Formations with Fast Marching Square Including Uncertainty Conditions
Robotics and Autonomous Systems. num. 2 , vol. 61 , pages: 137 – 152 , 2013
J.V. Gomez A. Lumbier S. Garrido L. Moreno

Entries:
Precision Grasp Planning Based on Fast Marching Square.
IEEE/RSJ 21st Mediterranean Conference on Control and Automation (MED) 2013., Platanias-Chani, Greece
J.V. Gomez D. Alvarez A. Lumbier S. Garrido L. Moreno
Kinesthetic Teaching via Fast Marching Square
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), 2012, Vila Moura, Portugal
J.V. Gomez D. Alvarez S. Garrido L. Moreno
Adaptive Robot Formations Using Fast Marching Square Working Under Uncertainty Conditions
IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO 2011), 2011, San Francisco , CA – EEUU
J.V. Gomez S. Garrido L. Moreno
Smooth Path Planning for non-holonomic robots using VFM
5th IEEE InternationalConference on Mechatronics (ICM 2009). http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4957121, 2009, Málaga, Spain
F. Martín S. Garrido D. Blanco L. Moreno
Improving RRT motion trajectories using VFM
5th IEEE InternationalConference on Mechatronics (ICM 2009). http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4957120, 2009, Málaga, Spain
F. Martín S. Garrido D. Blanco L. Moreno
Exploratory Navigation based on Voronoi Transform and Fast Marching
2007 IEEE International Symposium on Intelligent Signal Processing (WISP'2007), 2007, Alcala Henares, Spain
F. Martín S. Garrido D. Blanco L. Moreno
FM2: a real-time Fast Marching sensor based Path Planner
2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (ISBN: 1-4244-1264-1), 2007, Zurich, Swizerland
F. Martín S. Garrido D. Blanco L. Moreno
Path Planning for Mobile Robot Navigation using Voronoi Diagram and Fast Marching
IROS'06. The 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. , 2006, Beijing, China
F. Martín S. Garrido M. Abderrahim L. Moreno
Log of the inverse of the Distance Transform and Fast Marching applied to Path Planning
IROS'06. The 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006, Beijing, China
F. Martín S. Garrido D. Blanco L. Moreno

Entries:
Fusion Technologies and the Contribution of TECHNOFUSIÓN
chapter: Performance Study of the FM2 Planning Method for Remote Handling Operations in ITER Sección de Publicaciones de la UC3M , ISBN: 978-84-695-6616, 2012
J.V. Gomez S. Garrido L. Moreno

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