2013
DOI: 10.2507/ijsimm12(1)3.222
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Coordination of Robots with Overlapping Workspaces Based on Motion Co-evolution

Abstract: The level of autonomy is the most important feature by which the modern robotic systems development is directed. Furthermore, if the robots are supposed to work together in order to solve a complex task, their workspaces are shared. In this case, the robots present dynamic obstacle to each other. This paper presents a solution of the problem of motion coordination of two robots with overlapping workspaces based on co-evolutionary algorithm for simultaneous motion planning of the two robots. A method for exact … Show more

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Cited by 18 publications
(15 citation statements)
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“…Dynamic equations using Lagrange equation is [13]: (3) where, M(q) is the matrix of inertia moment, C(q) is the matrix of Coriolis forces, B(q) is input matrix, and A τ (q) is the Jacobian matrix, τ is the input vector which is the torque to the left and right wheels and λ is the additional forces into the system. Given the equations, state space vector is obtained as follows.…”
Section: Two-wheeled Robotmentioning
confidence: 99%
“…Dynamic equations using Lagrange equation is [13]: (3) where, M(q) is the matrix of inertia moment, C(q) is the matrix of Coriolis forces, B(q) is input matrix, and A τ (q) is the Jacobian matrix, τ is the input vector which is the torque to the left and right wheels and λ is the additional forces into the system. Given the equations, state space vector is obtained as follows.…”
Section: Two-wheeled Robotmentioning
confidence: 99%
“…movement and perform analysis [17,18]. The biggest advantage of this way is that we can observe video many times and thus create environment that is almost identical to real environment including time spent for particular operation.…”
Section: Comparison Of Used Methodsmentioning
confidence: 99%
“…2). Since RONNA provides a dual-arm configuration, a special control system based on the evolutionary algorithm to coordinate the movement of two robots developed in [15], is applied. The control algorithm is used to calculate offline trajectories in the planning and simulation phase.…”
Section: Setupmentioning
confidence: 99%