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Found 11 papers, 1 papers with code
From Multi-modal Property Dataset to Robot-centric Conceptual Knowledge About Household Objects
However, due to different sensing and acting capabilities of robots, their conceptual understanding of objects must be generated from a robot's perspective entirely, which asks for robot-centric conceptual knowledge about objects.
Adaptive Navigation Scheme for Optimal Deep-Sea Localization Using Multimodal Perception Cues
Underwater robot interventions require a high level of safety and reliability.
Unsupervised Learning of Shape Concepts - From Real-World Objects to Mental Simulation
Experiments show that extracted persistent commonality groups can feature semantically meaningful shape concepts; the generalization of the proposed approach is evaluated by different real-world datasets.
Improved Fourier Mellin Invariant for Robust Rotation Estimation with Omni-cameras
In this work, we extend the iFMI method and apply a motion model to estimate an omni-camera's pose when it moves in 3D space.
Robust Gesture-Based Communication for Underwater Human-Robot Interaction in the context of Search and Rescue Diver Missions
We propose a robust gesture-based communication pipeline for divers to instruct an Autonomous Underwater Vehicle (AUV) to assist them in performing high-risk tasks and helping in case of emergency.
Towards Robot-Centric Conceptual Knowledge Acquisition
Robots require knowledge about objects in order to efficiently perform various household tasks involving objects.
CADDY Underwater Stereo-Vision Dataset for Human-Robot Interaction (HRI) in the Context of Diver Activities
In this article we present a novel underwater dataset collected from several field trials within the EU FP7 project "Cognitive autonomous diving buddy (CADDY)", where an Autonomous Underwater Vehicle (AUV) was used to interact with divers and monitor their activities.
Underwater Image Haze Removal and Color Correction with an Underwater-ready Dark Channel Prior
On the other hand there is a well known method for haze removal in air, called Dark Channel Prior.
Visual Object Categorization Based on Hierarchical Shape Motifs Learned From Noisy Point Cloud Decompositions
Therein surface description and representation of object shape structure have significant influence on shape categorization accuracy, when dealing with real-world scenes featuring noisy, partial and occluded object observations.
Conceptualization of Object Compositions Using Persistent Homology
Inspired by Persistent Homology, hidden groups of shape commonalities are revealed from object segment decompositions.
Physics-Based Damage-Aware Manipulation Strategy Planning Using Scene Dynamics Anticipation
We present a damage-aware planning approach which determines the best sequence to manipulate a number of objects in a scene.
Robotics
