ROSPlan: Planning in the Robot Operating System
@inproceedings{Cashmore2015ROSPlanPI, title={ROSPlan: Planning in the Robot Operating System}, author={Michael Cashmore and Maria Fox and Derek Long and Daniele Magazzeni and Bram Ridder and Arnau Carrera and Narc{\'i}s Palomeras and Nat{\`a}lia Hurt{\'o}s and Marc Carreras}, booktitle={International Conference on Automated Planning and Scheduling}, year={2015} }
The Robot Operating System (ROS) is a set of software libraries and tools used to build robotic systems. ROS is known for a distributed and modular design. Given a model of the environment, task planning is concerned with the assembly of actions into a structure that is predicted to achieve goals. This can be done in a way that minimises costs, such as time or energy. Task planning is vital in directing the actions of a robotic agent in domains where a causal chain could lock the agent into…
270 Citations
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References
SHOWING 1-10 OF 57 REFERENCES
Combined task and motion planning through an extensible planner-independent interface layer
- Computer Science2014 IEEE International Conference on Robotics and Automation (ICRA)
- 2014
This work proposes a new approach that uses off-the-shelf task planners and motion planners and makes no assumptions about their implementation and uses a novel representational abstraction that requires only that failures in computing a motion plan for a high-level action be identifiable and expressible in the form of logical predicates at the task level.
Interleaving Temporal Planning and Execution in Robotics Domains
- Computer ScienceAAAI
- 2004
A framework to integrate deliberative planning, plan repair and execution control in a dynamic environment with stringent temporal constraints is proposed, based on lifted partial order temporal planning techniques which produce flexible plans and allow, under certain conditions discussed in the paper, plan Repair interleaved with plan execution.
KVP: A knowledge of volumes approach to robot task planning
- Computer Science2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
- 2013
This paper presents a novel “knowledge of volumes” framework for solving generic robot tasks in partially known environments that combines the power of symbolic, knowledge-level AI planning with the efficient computation of volumes, which serve as an intermediate representation for both robot action and perception.
Concurrent planning and execution for autonomous robots
- Computer ScienceIEEE Control Systems
- 1992
The use of TCA in a system that walks a legged robot through rugged terrain is described, using TCA features for task sequencing and monitoring to concurrently plan and execute steps.
IDEA: Planning at the Core of Autonomous Reactive Agents
- Computer Science
- 2002
This paper presents IDEA (Intelligent Distributed Execution Architecture) a unified planning and execution framework and is working to fully duplicate the functionalities of the DS1 Remote Agent and extend it to domains of higher complexity than autonomous.
Knowledge-based Specification of Robot Motions
- Computer ScienceECAI
- 2014
This paper investigates how constraint-based motion representations used in robot control can be combined with a semantic knowledge base in order to let a robot reason about movements and to automatically generate executable motion descriptions that can be adapted to different robots, objects and tools.
A systematic agent framework for situated autonomous systems
- Computer ScienceAAMAS
- 2010
This framework manages the information flow within the partitioned structure to ensure consistency in order to direct the flow of goals and observations in a timely manner and promises a domain-independent, scalable and robust approach for control of real-world autonomous robots operating in dynamic environments.
ROS: an open-source Robot Operating System
- Computer ScienceICRA 2009
- 2009
This paper discusses how ROS relates to existing robot software frameworks, and briefly overview some of the available application software which uses ROS.
COLA2: A Control Architecture for AUVs
- Computer ScienceIEEE Journal of Oceanic Engineering
- 2012
The whole architecture has been validated in a cable tracking mission divided in two main phases and has been proved in a realistic simulation of a whole cable tracking MissionCOLA2.
PRS: a high level supervision and control language for autonomous mobile robots
- Computer ScienceProceedings of IEEE International Conference on Robotics and Automation
- 1996
The main reasons why PRS is well suited for this type of application are discussed: the semantics of its plan (procedure) representation, which is important for plan execution and goal refinement, and its ability to construct and act on partial plans.