Behavior trees are a mechanism for representing and abstracting complex behavior for robots. While they originated in the video game industry, they have been steadily gaining popularity in robotics ...

Industry leaders attribute modularity as the main reason for the prominence of behavior trees in AI and robotics. Modularity is a key enabler for designing complex and reusable systems that are ...

Behavior trees execute in discrete update steps known as ticks. When a BT is ticked, usually at some specified rate, its child nodes recursively tick based on how the tree is constructed. After a node ...

In recent years high-performance language models have demonstrated superior multitasking capabilities that can be applied to many domains. This breakthrough has spawned emerging research in robot ...

Simulating robot behavior in a virtual environment is a useful way to test and optimize your control algorithms, design and evaluate different scenarios, and train your operators or users.

A ROS behavior tree library. The leaf nodes (user defined) can be either in C++ or python. Read the user manual for more information. Please refer to the following paper when using the library: How ...

Autonomous robots combine skills to form increasingly complex behaviors, called missions. While skills are often programmed at a relatively low abstraction level, their coordination is architecturally ...

A multi‑robot Unmanned Ground Vehicle (UGV) system using behavior trees for coordinated surveillance, obstacle avoidance, and target (human) detection.

Each robot houses multiple agents, each representing different interaction styles. When a new interaction begins, the scene is analyzed, a set of descriptive parameters is generated, and a bidding ...

Behavior Trees (BTs) have emerged as a critical framework for organising decision-making processes in both robotics and artificial intelligence.