Autonomous localization and navigation, as an essential research area in robotics, has a
broad scope of applications in various scenarios. To widen the utilization environment and …

While executing its plan in a dynamic environment where multiple agents are operating, an
autonomous agent may suffer a failure due to discrepancies between the expected and …

Autonomous Underwater Vehicles (AUVs) are becoming increasingly important for different
types of industrial applications. The generally high cost of AUVs restricts the access to them …

Heterogeneous robot teams face challenges in reducing human interventions due to robot
failure and environmental challenges in dangerous unstructured environments. It is …

This paper presents a robust underwater simultaneous localisation and mapping (SLAM)
framework using autonomous relocalisation. The proposed approach strives to maintain a …

In real-world applications, the ability to reason about incomplete knowledge, sensing,
temporal notions, and numeric constraints is vital. While several AI planners are capable of …

Autonomous robots need to be able to handle uncertainties when deployed in the real
world. For the robot to be able to robustly work in such an environment, it needs to be able to …

Based on the wave attack task planning method in static complex environment and the
rolling optimization framework, an online task planning method in dynamic complex …

Abstract Autonomous Underwater Vehicles (AUVs) are increasingly used to implement
complex missions that require robots with a high level of operational autonomy. AI temporal …

Automated planning provides the tools for intelligent behaviours in robotic platforms
deployed in real-world environments. The complexity of these domains requires planning …