Reactive Integrated Mission and Motion planning
Alireza Partovi, Rafael Rodrigues da Silva, Hai Lin

TL;DR
This paper introduces a reactive, multi-layered framework for integrated mission and motion planning in dynamic environments, enabling mobile-robot manipulators to adaptively execute complex tasks safely and efficiently.
Contribution
It presents a novel multi-layered approach combining high-level mission synthesis with low-level motion control for dynamic, multi-robot systems using linear temporal logic.
Findings
Successfully applied to a multi-robot warehouse scenario
Ensures collision-free and dynamically feasible trajectories
Adapts to environmental changes through strategic planning
Abstract
Correct-by-construction manipulation planning in a dynamic environment, where other agents can manipulate objects in the workspace, is a challenging problem. The tight coupling of actions and motions between agents and complexity of mission specifications makes the problem computationally intractable. This paper presents a reactive integrated mission and motion planning for mobile-robot manipulator systems operating in a partially known environment. We introduce a multi-layered synergistic framework that receives high-level mission specifications expressed in linear temporal logic and generates dynamically-feasible and collision-free motion trajectories to achieve it. In the high-level layer, a mission planner constructs a symbolic two-player game between the robots and their environment to synthesis a strategy that adapts to changes in the workspace imposed by other robots. A…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Formal Methods in Verification · Modular Robots and Swarm Intelligence
