Swarm robots in mechanized agricultural operations: A review about challenges for research
Agricultural mechanization is an area of knowledge that has evolved a lot over the past
century, its main actors being agricultural tractors that, in 100 years, have increased their …
century, its main actors being agricultural tractors that, in 100 years, have increased their …
Integrating physical and cognitive interaction capabilities in a robot-aided rehabilitation platform
The communication channels between physiotherapists and patients are many and varied.
Rehabilitation robots are able to deliver intensive treatments and improve the patient's …
Rehabilitation robots are able to deliver intensive treatments and improve the patient's …
Coordinating shared tasks in human-robot collaboration by commands
A Angleraud, A Mehman Sefat, M Netzev… - Frontiers in Robotics …, 2021 - frontiersin.org
Human-robot collaboration is gaining more and more interest in industrial settings, as
collaborative robots are considered safe and robot actions can be programmed easily by, for …
collaborative robots are considered safe and robot actions can be programmed easily by, for …
Intervention and regulatory mechanism of multimodal fusion natural interactions on AR embodied cognition
Multiple interaction modes, such as gestures and physical objects, coexist in the process of
AR (Augmented Reality) embodied cognition. On the basis of the unified representation of …
AR (Augmented Reality) embodied cognition. On the basis of the unified representation of …
Semantic Role Labeling from Chinese Speech via End-to-End Learning
Abstract Semantic Role Labeling (SRL), crucial for understanding semantic relationships in
sentences, has traditionally focused on text-based input. However, the increasing use of …
sentences, has traditionally focused on text-based input. However, the increasing use of …
Jointly improving parsing and perception for natural language commands through human-robot dialog
In this work, we present methods for using human-robot dialog to improve language
understanding for a mobile robot agent. The agent parses natural language to underlying …
understanding for a mobile robot agent. The agent parses natural language to underlying …
A spoken language dataset of descriptions for speech-based grounded language learning
Grounded language acquisition is a major area of research combining aspects of natural
language processing, computer vision, and signal processing, compounded by domain …
language processing, computer vision, and signal processing, compounded by domain …
[HTML][HTML] ExTraCT–Explainable trajectory corrections for language-based human-robot interaction using textual feature descriptions
Introduction In human-robot interaction (HRI), understanding human intent is crucial for
robots to perform tasks that align with user preferences. Traditional methods that aim to …
robots to perform tasks that align with user preferences. Traditional methods that aim to …
Unified Meaning Representation Format (UMRF)-A Task Description and Execution Formalism for HRI
To facilitate continuous development of novel HRI systems, it is beneficial to have tools that
enable quick adjustments, flexibility, or re-invention of the human interfaces when system …
enable quick adjustments, flexibility, or re-invention of the human interfaces when system …
Bridging the gap: Using deep acoustic representations to learn grounded language from percepts and raw speech
Learning to understand grounded language, which connects natural language to percepts,
is a critical research area. Prior work in grounded language acquisition has focused …
is a critical research area. Prior work in grounded language acquisition has focused …