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:
Automatic Demonstration and Feature Selection for Robot Learning
IEEE International Conference on Humanoid Robots, 2015, Seoul, South Korea
S. Morante Juan G. Victores
Action Effect Generalization, Recognition and Execution through Continuous Goal-Directed Actions
IEEE International Conference on Robotics and Automation (ICRA 2014), 2014, Hong Kong, China
S. Morante Juan G. Victores A. Jardon
On Using Guided Motor Primitives to Execute Continuous Goal-Directed Actions
IEEE international symposium on robot and human interactive communication (RO-MAN 2014), 2014, Edinburgh, Scotland
S. Morante Juan G. Victores A. Jardon
Improving CGDA execution through Genetic Algorithms incorporating Spatial and Velocity constraints
IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2017, Coimbra, Portugal
R. Fernandez-Fernandez D. Estévez Juan G. Victores
Reducing the Number of Evaluations Required for CGDA Execution through Particle Swarm Optimization Methods
IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2017, Coimbra, Portugal
R. Fernandez-Fernandez D. Estévez Juan G. Victores
Robot Imitation through Vision, Kinesthetic and Force Features with Online Adaptation to Changing Environments
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, Madrid, Spain
R. Fernandez-Fernandez Juan G. Victores D. Estévez

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