Multi-robot, multi-sensor exploration of multifarious environments with full mission aerial autonomy
We present a coordinated autonomy pipeline for multi-sensor exploration of confined
environments. We simultaneously address four broad challenges that are typically …
environments. We simultaneously address four broad challenges that are typically …
Learning behavior trees from planning experts using decision tree and logic factorization
S Gugliermo, E Schaffernicht… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
The increased popularity of Behavior Trees (BTs) in different fields of robotics requires
efficient methods for learning BTs from data instead of tediously handcrafting them. Recent …
efficient methods for learning BTs from data instead of tediously handcrafting them. Recent …
A framework for learning behavior trees in collaborative robotic applications
In modern industrial collaborative robotic applications, it is desirable to create robot
programs automatically, intuitively, and time-efficiently. Moreover, robots need to be …
programs automatically, intuitively, and time-efficiently. Moreover, robots need to be …
[HTML][HTML] Evaluating behavior trees
Behavior trees (BTs) are increasingly popular in the robotics community. Yet in the growing
body of published work on this topic, there is a lack of consensus on what to measure and …
body of published work on this topic, there is a lack of consensus on what to measure and …
A Study on Training and Developing Large Language Models for Behavior Tree Generation
This paper presents an innovative exploration of the application potential of large language
models (LLM) in addressing the challenging task of automatically generating behavior trees …
models (LLM) in addressing the challenging task of automatically generating behavior trees …
Interactive disambiguation for behavior tree execution
In recent years, robots are used in an increasing variety of tasks, especially by small-and
medium sized enterprises. These tasks are usually fast-changing, they have a collaborative …
medium sized enterprises. These tasks are usually fast-changing, they have a collaborative …
Communicating Intent as Behaviour Trees for Decentralised Multi-Robot Coordination
R Hull, D Moratuwage, E Scheide… - … on Robotics and …, 2024 - ieeexplore.ieee.org
We propose a decentralised multi-robot coordination algorithm that features a rich
representation for encoding and communicating each robot's intent. This representation for …
representation for encoding and communicating each robot's intent. This representation for …
[PDF][PDF] Extracting Planning Domains from Execution Traces: a Progress Report
One of the difficulties of using AI planners in industrial applications pertains to the complexity
of writing planning domain models. These models are typically constructed by domain …
of writing planning domain models. These models are typically constructed by domain …
WE-BTR: A Behavior Tree Recommendation Method Based on Word Embedding
H Su, F Li, X Wang, J Li, Y Wu… - 2023 IEEE 35th …, 2023 - ieeexplore.ieee.org
The widespread application of behavior trees in modeling complex robotic tasks can
attribute to their modularity and reusability. Nonetheless, the selection of required behavior …
attribute to their modularity and reusability. Nonetheless, the selection of required behavior …
An active pursuit strategy for autonomous mobile robots based on deep reinforcement learning
Y Gao, L Cheng, Y He, D Wang - 2022 IEEE International …, 2023 - ieeexplore.ieee.org
It is a great challenging but solvable task in an actual robot confrontation: how to effectively
pursue the target robot. In this paper, a maximized entropy-based deep reinforcement …
pursue the target robot. In this paper, a maximized entropy-based deep reinforcement …