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Task Roadmaps: Speeding up Task Replanning.

Anders Lager1,2, Giacomo Spampinato2, Alessandro V Papadopoulos1

  • 1Mälardalen University, Västerås, Sweden.

Frontiers in Robotics and AI
|May 16, 2022
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Summary
This summary is machine-generated.

This study introduces Task Roadmaps for industrial robots operating in dynamic environments. This method enables faster, more efficient runtime task replanning to maintain productivity despite unpredictable events.

Keywords:
ROSautonomous robotsoptimizationrobot task modellingtask planning

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Operations Research

Background:

  • Industrial robots increasingly operate in dynamic environments with unpredictable events.
  • Runtime task replanning is crucial for maintaining productivity and avoiding failures.
  • Existing path replanning methods focus on obstacle avoidance, not dynamic task adjustment.

Purpose of the Study:

  • To propose and evaluate a novel runtime task replanning method for robots in dynamic environments.
  • To introduce the concept of Task Roadmaps for efficient task replanning.
  • To compare the proposed method against benchmark approaches in terms of optimality and efficiency.

Main Methods:

  • A graph-based model of robot applications is converted into a task scheduling problem.
  • A Branch and Bound (B&B) approach is proposed to compute Task Roadmaps.
  • The B&B approach is benchmarked against Mixed Integer Linear Programming (MILP) and Planning Domain Definition Language (PDDL).

Main Results:

  • The proposed B&B Task Roadmap approach significantly outperforms MILP and PDDL in speed.
  • The method demonstrates optimality and efficiency in simulation-based experiments.
  • Task Roadmaps leverage an offline generated search space for efficient replanning.

Conclusions:

  • The B&B Task Roadmap approach offers a highly efficient and effective solution for runtime task replanning in dynamic industrial environments.
  • This method enables robots to dynamically adjust their behavior to evolving conditions, enhancing operational robustness.
  • Task Roadmaps provide a viable alternative to traditional planning methods for complex, dynamic applications.