A distributed architecture for supervision of autonomous multi-robot missions

Lesire, Charles; Infantes, Guillaume; Gateau, Thibault; Barbier, Magali

doi:10.1007/s10514-016-9603-z

Cited by 20 publications

(13 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The hierarchical language allows for the operator to easily specify the relationship between abstract tasks and primitive actions but relies upon the expert knowledge of the operator to provide the hierarchy. For AMV fleets, Lesire, Infantes, Gateau, and Barbier () developed a HTN planner that searches for a deterministic plan before deployment. Each vehicle then executes its own local plan and uses an operator‐specified failure‐remedy hierarchy to repair the plan during execution.…”

Section: Cooperation or Collaboration: Nuances In Multirobot Systems mentioning

confidence: 99%

“…In AMV fleets, many network interfaces, and command and control architectures have been implemented for specific heterogeneous missions. MOOS‐IvP (Benjamin, Schmidt, Newman, & Leonard, ), CaSHMI (Pastore, Galdorisi, & Jones, ), Neptus (F. L. Pereira et al, ), CARACaS and R4SA (Huntsberger & Woodward, ), HiDDeN (Lesire et al, ), and ROS (Forooshani & Jenkin, ) are all implementations that bring the low‐level control system specific to the vehicle up to a common interface, each of which have been used for heterogeneous AMV fleet missions.…”

Section: Cooperation or Collaboration: Nuances In Multirobot Systems mentioning

confidence: 99%

“…HTNs are suitable for decentralised planning, and Lesire et al ()’s HiDDeN planner uses the HTN structure to initialise a mission that is distributed across multiple vehicles. If an independent task is failed, the vehicle involved can locally perform a repair with its knowledge of the overall mission.…”

Section: Cooperation or Collaboration: Nuances In Multirobot Systems mentioning

confidence: 99%

See 2 more Smart Citations

Review of mission planning for autonomous marine vehicle fleets

Thompson

Guihen

2018

Journal of Field Robotics

View full text Add to dashboard Cite

The deployment of a fleet of autonomous marine vehicles (AMVs) allows for the parallelisation of missions, intervehicle support for longer deployment times, adaptability and redundancy to in situ mission changes, and effective use of the right vehicle for the right purpose. End users and operators of AMVs face challenges in planning complex missions due to the limitations of their vehicles, dynamic, operationally constrictive, and unstructured environments, and in minimising risks to equipment, the mission, and personnel. Automated mission planning for AMV fleets can be a tool to reduce the complexity of programming vehicle tasking, and to perform validity assessments for end user-specified goals, allowing the operator to focus on risk assessment. We present a critical review of the current advances in automated planning for AMV fleets, investigating the limitations of available state-ofthe-art tools and providing a road map of the goals and challenges based on analysis of field reports and end user initiatives.

show abstract

Section: Cooperation or Collaboration: Nuances In Multirobot Systems mentioning

confidence: 99%

Section: Cooperation or Collaboration: Nuances In Multirobot Systems mentioning

confidence: 99%

Section: Cooperation or Collaboration: Nuances In Multirobot Systems mentioning

confidence: 99%

See 1 more Smart Citation

Review of mission planning for autonomous marine vehicle fleets

Thompson

Guihen

2018

Journal of Field Robotics

View full text Add to dashboard Cite

show abstract

“…Then the program of client NAO3 is ran and NAO2 and NAO3 will receive the message at the same time and call the output point of self.onStopped( ) method in the command box such that NAO1, NAO2 and NAO3 simultaneously activate the action command box, which realizes the synchronized dance of multiple NAO robots. In this paper, the millisecond datatime module is used and it has been detected that the time of receiving information from the server to client is identical [15] [16].…”

Section: Figure III the Controlling Flow Chart Of Multi-robot Synchrmentioning

confidence: 99%

Multi-robot Synchronous Control Based on Multi-thread

Xiong¹,

Long²,

Lu³

et al. 2018

Advances in Intelligent Systems Research

View full text Add to dashboard Cite

With the development of robot technology, many researchers have changed the investigating direction from singlerobot control to multi-robot control. In terms of the group control of humanoid robot, this paper addressed a socket communication and multi-thread technology based on Python such that the actions of multiple robots could be synchronously controll. It could be proved by experiments that the delay of starting dancing program of robots could be reduced to milliseconds by applying the method and the dancing actions of multiple robots were consistent from eyes observation, which leaded to the actions synchronization of multiple robots. Furthermore, the successful rate of many real machine experiments reached 94.5%, which verified the effectiveness of the proposed method.

show abstract

“…Energy resource optimisation is multi-objective in that it represents both the time taken and the loading on the vehicles, and requires dynamic models of the vehicles and the environment to provide a reliable plan. The planner is proposed as an alternative framework to existing temporal logic planners [3] and Hierarchical Task Network (HTN) planners [4,5] for marine vehicles. 3.…”

Section: Introductionmentioning

confidence: 99%

Robust mission planning for Autonomous Marine Vehicle fleets

Thompson

Galeazzi

2020

Robotics and Autonomous Systems

View full text Add to dashboard Cite

 Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

A distributed architecture for supervision of autonomous multi-robot missions

Cited by 20 publications

References 27 publications

Review of mission planning for autonomous marine vehicle fleets

Review of mission planning for autonomous marine vehicle fleets

Multi-robot Synchronous Control Based on Multi-thread

Robust mission planning for Autonomous Marine Vehicle fleets

Contact Info

Product

Resources

About