Abstract:
Multirobot fleets play an important role in industrial logistics, surveillance, and exploration applications. A wide literature exists on the topic, both resorting to rea...Show MoreMetadata
Abstract:
Multirobot fleets play an important role in industrial logistics, surveillance, and exploration applications. A wide literature exists on the topic, both resorting to reactive (i.e. collision avoidance) and to deliberative (i.e. motion planning) techniques. In this work, null space-based inverse kinematics (NSB-IK) methods are applied to the problem of fleet management. Several NSB-IK approaches existing in the literature are reviewed, and compared with a reverse priority approach, which originated in manipulator control, and is here applied for the first time to the considered problem. All NSB-IK approaches are here described in a unified formalism, which allows (i) to encode the property of each controller into a set of seven main key features, (ii) to study possible new control laws with an opportune choice of these parameters. Furthermore, motivated by the envisioned application scenario, we tackle the problem of task-switching activation. Leveraging on the iCAT TPC technique Simetti and Casalino, 2016, in this article, we propose a method to obtain continuity in the control in face of activation or deactivation of tasks, and subtasks by defining suitable damped projection operators. The proposed approaches are evaluated formally, and via simulations. Performances with respect to standard methods are compared considering a specific case study for multivehicles management.
Published in: IEEE Transactions on Robotics ( Volume: 37, Issue: 1, February 2021)
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- IEEE Keywords
- Index Terms
- Fleet Management ,
- Optimal Control ,
- Use Of Control ,
- Path Planning ,
- Planning Techniques ,
- Optimization Problem ,
- Diagonal Matrix ,
- Singular Value ,
- Projector ,
- Inequality Constraints ,
- Projection Matrix ,
- Active Task ,
- Control Objective ,
- Null Space ,
- Slack Variables ,
- Good Tracking ,
- Priority Level ,
- Errors In Task ,
- Bilevel Optimization ,
- High Damping ,
- Reference Velocity ,
- Correct Execution ,
- Gradient Projection Method ,
- Damping Parameter ,
- Control Architecture ,
- Auxiliary Problem ,
- Damping Values ,
- Safety Constraints ,
- Discrete-time
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Fleet Management ,
- Optimal Control ,
- Use Of Control ,
- Path Planning ,
- Planning Techniques ,
- Optimization Problem ,
- Diagonal Matrix ,
- Singular Value ,
- Projector ,
- Inequality Constraints ,
- Projection Matrix ,
- Active Task ,
- Control Objective ,
- Null Space ,
- Slack Variables ,
- Good Tracking ,
- Priority Level ,
- Errors In Task ,
- Bilevel Optimization ,
- High Damping ,
- Reference Velocity ,
- Correct Execution ,
- Gradient Projection Method ,
- Damping Parameter ,
- Control Architecture ,
- Auxiliary Problem ,
- Damping Values ,
- Safety Constraints ,
- Discrete-time
- Author Keywords