Vision-based holistic scene understanding towards proactive human–robot collaboration
Recently human–robot collaboration (HRC) has emerged as a promising paradigm for mass
personalization in manufacturing owing to the potential to fully exploit the strength of human …
personalization in manufacturing owing to the potential to fully exploit the strength of human …
Artificial intelligence in the agri-food system: Rethinking sustainable business models in the COVID-19 scenario
The aim of the paper is to investigate the artificial intelligence (AI) function in agri-food
industry, as well as the role of stakeholders in its supply chain. Above all, from the beginning …
industry, as well as the role of stakeholders in its supply chain. Above all, from the beginning …
Can an Embodied Agent Find Your “Cat-shaped Mug”? LLM-Based Zero-Shot Object Navigation
VS Dorbala, JF Mullen Jr… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
We present language-guided exploration (LGX), a novel algorithm for Language-Driven
Zero-Shot Object Goal Navigation (L-ZSON), where an embodied agent navigates to an …
Zero-Shot Object Goal Navigation (L-ZSON), where an embodied agent navigates to an …
Performing predefined tasks using the human–robot interaction on speech recognition for an industrial robot
MC Bingol, O Aydogmus - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
People who are not experts in robotics can easily implement complex robotic applications by
using human–robot interaction (HRI). HRI systems require many complex operations such …
using human–robot interaction (HRI). HRI systems require many complex operations such …
Vision-based navigation with language-based assistance via imitation learning with indirect intervention
Abstract We present Vision-based Navigation with Language-based Assistance (VNLA), a
grounded vision-language task where an agent with visual perception is guided via …
grounded vision-language task where an agent with visual perception is guided via …
Assister: Assistive navigation via conditional instruction generation
We introduce a novel vision-and-language navigation (VLN) task of learning to provide real-
time guidance to a blind follower situated in complex dynamic navigation scenarios …
time guidance to a blind follower situated in complex dynamic navigation scenarios …
Interactive navigation in environments with traversable obstacles using large language and vision-language models
This paper proposes an interactive navigation framework by using large language and
vision-language models, allowing robots to navigate in environments with traversable …
vision-language models, allowing robots to navigate in environments with traversable …
Reve-ce: Remote embodied visual referring expression in continuous environment
Ithas always been a great challenge for the robot to navigate in the visual world following
natural language instructions. Recently, several tasks such as the Vision-and-Language …
natural language instructions. Recently, several tasks such as the Vision-and-Language …
Talk to the vehicle: Language conditioned autonomous navigation of self driving cars
We propose a novel pipeline that blends encodings from natural language and 3D semantic
maps obtained from visual imagery to generate local trajectories that are executed by a low …
maps obtained from visual imagery to generate local trajectories that are executed by a low …
A multi-granularity scene segmentation network for human-robot collaboration environment perception
Human-robot collaboration (HRC) has been considered as a promising paradigm towards
futuristic human-centric smart manufacturing, to meet the thriving needs of mass …
futuristic human-centric smart manufacturing, to meet the thriving needs of mass …