On the programming effort required to generate Behavior Trees and Finite State Machines for robotic applications
Author:
Affiliation:
1. ABB Corporate Research,Västerås,Sweden
2. ETH Zürich,Autonomous Systems Lab,Zürich,Switzerland
3. KTH - Royal Institute of Technology,Division of Robotics, Perception and Learning,Stockholm,Sweden
Funder
Swedish Foundation for Strategic Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160972.pdf?arnumber=10160972
Reference26 articles.
1. Using Finite State Machines in Introductory Robotics
2. Interactive Disambiguation for Behavior Tree Execution
3. How Behavior Trees Modularize Hybrid Control Systems and Generalize Sequential Behavior Compositions, the Subsumption Architecture, and Decision Trees
4. Letters to the editor: go to statement considered harmful
5. Combining Context Awareness and Planning to Learn Behavior Trees from Demonstration
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1. Evaluating behavior trees;Robotics and Autonomous Systems;2024-08
2. Behaviour Tree-Based Task Execution Controller for Internal Transportation Robots;2024 13th International Workshop on Robot Motion and Control (RoMoCo);2024-07-02
3. BeBOP - Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
4. Communicating Intent as Behaviour Trees for Decentralised Multi-Robot Coordination;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
5. Enhancing Autonomous Door Traversal for Mobile Manipulators Using Behavior Trees;IEEE Access;2024
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