Francisco Valero

According to our database1, Francisco Valero authored at least 16 papers between 1996 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2019
Assessment of the Effect of Energy Consumption on Trajectory Improvement for a Car-like Robot.
Robotica, 2019

Efficient trajectory of a car-like mobile robot.
Ind. Robot, 2019

2016
Industrial robot efficient trajectory generation without collision through the evolution of the optimal trajectory.
Robotics Auton. Syst., 2016

2015
A direct approach to solving trajectory planning problems using genetic algorithms with dynamics considerations in complex environments.
Robotica, 2015

2012
Optimal time trajectories for industrial robots with torque, power, jerk and energy consumed constraints.
Ind. Robot, 2012

Comparing the efficiency of five algorithms applied to path planning for industrial robots.
Ind. Robot, 2012

Evolutionary Path Planning Algorithm for Industrial Robots.
Adv. Robotics, 2012

2011
Real-time solving of dynamic problem in industrial robots.
Ind. Robot, 2011

Parallel-Populations Genetic Algorithm for the Optimization of Cubic Polynomial Joint Trajectories for Industrial Robots.
Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011

2010
The simultaneous algorithm and the best interpolation function for trajectory planning.
Ind. Robot, 2010

2009
Direct step-by-step method for industrial robot path planning.
Ind. Robot, 2009

2006
A comparison between direct and indirect dynamic parameter identification methods in industrial robots.
Robotica, 2006

2003
Solving the inverse dynamic control for low cost real-time industrial robot control applications.
Robotica, 2003

2002
Inverse dynamic problem in robots using Gibbs-Appell equations.
Robotica, 2002

1996
Generation of adjacent configurations for a collision-free path planning of manipulators.
Robotica, 1996

A formulation for path planning of manipulators in complex environments by using adjacent configurations.
Adv. Robotics, 1996


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