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Temporal logic motion planning using POMDPs with parity objectives: case study paper

Published: 14 April 2015 Publication History

Abstract

We consider a case study of the problem of deploying an autonomous air vehicle in a partially observable, dynamic, indoor environment from a specification given as a linear temporal logic (LTL) formula over regions of interest. We model the motion and sensing capabilities of the vehicle as a partially observable Markov decision process (POMDP). We adapt recent results for solving POMDPs with parity objectives to generate a control policy. We also extend the existing framework with a policy minimization technique to obtain a better implementable policy, while preserving its correctness. The proposed techniques are illustrated in an experimental setup involving an autonomous quadrotor performing surveillance in a dynamic environment.

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Cited By

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  • (2024)Trust-Aware Motion Planning for Human-Robot Collaboration under Distribution Temporal Logic Specifications2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610874(12949-12955)Online publication date: 13-May-2024
  • (2023)Ensure: Towards Reliable Control of Cyber-Physical Systems Under UncertaintyIEEE Transactions on Reliability10.1109/TR.2022.316711672:1(289-301)Online publication date: Mar-2023
  • (2021)Online Partial Conditional Plan Synthesis for POMDPs With Safe-Reachability Objectives: Methods and ExperimentsIEEE Transactions on Automation Science and Engineering10.1109/TASE.2021.305711118:3(932-945)Online publication date: Jul-2021
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cover image ACM Conferences
HSCC '15: Proceedings of the 18th International Conference on Hybrid Systems: Computation and Control
April 2015
321 pages
ISBN:9781450334334
DOI:10.1145/2728606
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 14 April 2015

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View all
  • (2024)Trust-Aware Motion Planning for Human-Robot Collaboration under Distribution Temporal Logic Specifications2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610874(12949-12955)Online publication date: 13-May-2024
  • (2023)Ensure: Towards Reliable Control of Cyber-Physical Systems Under UncertaintyIEEE Transactions on Reliability10.1109/TR.2022.316711672:1(289-301)Online publication date: Mar-2023
  • (2021)Online Partial Conditional Plan Synthesis for POMDPs With Safe-Reachability Objectives: Methods and ExperimentsIEEE Transactions on Automation Science and Engineering10.1109/TASE.2021.305711118:3(932-945)Online publication date: Jul-2021
  • (2021)Learning and Planning for Temporally Extended Tasks in Unknown Environments2021 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA48506.2021.9561819(4830-4836)Online publication date: 30-May-2021
  • (2021)Design of smooth hybrid controllers for a class of non‐linear systemsIET Control Theory & Applications10.1049/iet-cta.2019.111214:19(3251-3259)Online publication date: 17-Feb-2021
  • (2021)Enforcing Almost-Sure Reachability in POMDPsComputer Aided Verification10.1007/978-3-030-81688-9_28(602-625)Online publication date: 15-Jul-2021
  • (2020)Online Partial Conditional Plan Synthesis for POMDPs with Safe-Reachability ObjectivesAlgorithmic Foundations of Robotics XIII10.1007/978-3-030-44051-0_8(127-143)Online publication date: 8-May-2020
  • (2018)Bounded Policy Synthesis for POMDPs with Safe-Reachability ObjectivesProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237424(238-246)Online publication date: 9-Jul-2018
  • (2018)Strategy Synthesis for Autonomous Agents Using PRISMNASA Formal Methods10.1007/978-3-319-77935-5_16(220-236)Online publication date: 11-Mar-2018
  • (2017)Verification and control of partially observable probabilistic systemsReal-Time Systems10.1007/s11241-017-9269-453:3(354-402)Online publication date: 1-May-2017
  • Show More Cited By

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