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Found 7 papers, 2 papers with code
Towards Confidence-guided Shape Completion for Robotic Applications
Many robotic tasks involving some form of 3D visual perception greatly benefit from a complete knowledge of the working environment.
Active Perception for Ambiguous Objects Classification
We also describe a complete pipeline from a real object's scans to the viewpoint selection and classification.
Address Behaviour Vulnerabilities in the Next Generation of Autonomous Robots
Robots applications in our daily life increase at an unprecedented pace.
Compact Belief State Representation for Task Planning
The performance of a task planner relies on the belief state representation.
Behavior Trees in Robotics and AI: An Introduction
A Behavior Tree (BT) is a way to structure the switching between different tasks in an autonomous agent, such as a robot or a virtual entity in a computer game.
Towards Blended Reactive Planning and Acting using Behavior Trees
In this paper, we show how a planning algorithm can be used to automatically create and update a Behavior Tree (BT), controlling a robot in a dynamic environment.
Learning of Behavior Trees for Autonomous Agents
Definition of an accurate system model for Automated Planner (AP) is often impractical, especially for real-world problems.
