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Found 6 papers, 0 papers with code
Enhancing AUV Autonomy With Model Predictive Path Integral Control
However, in order to ensure that the AUV is able to carry out its mission successfully, a control system capable of adapting to changing environmental conditions is required.
Temporal Planning with Incomplete Knowledge and Perceptual Information
In real-world applications, the ability to reason about incomplete knowledge, sensing, temporal notions, and numeric constraints is vital.
Underwater inspection and intervention dataset
This paper presents a novel dataset for the development of visual navigation and simultaneous localisation and mapping (SLAM) algorithms as well as for underwater intervention tasks.
Multi-Task Reinforcement Learning based Mobile Manipulation Control for Dynamic Object Tracking and Grasping
Tracking and grasping a dynamic object with a random trajectory is even harder.
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Deep convolutional neural networks generally perform well in underwater object recognition tasks on both optical and sonar images.
Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments
The proposed approach deals with the motion, probabilistic safety, and online computation constraints by: (i) incrementally mapping the surroundings to build an uncertainty-aware representation of the environment, and (ii) iteratively (re)planning trajectories to goal that are kinodynamically feasible and probabilistically safe through a multi-layered sampling-based planner in the belief space.
