Results 101 to 110 of about 167,283 (265)
Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Two-Level Feature Fusion Network for Remote Sensing Image Change Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingWith the advancement of satellite technology, the application space of change detection (CD) in remote sensing images is continuously expanding. However, the development of satellite remote sensing technology is still ongoing, and limited resolution and ...
Mingyao Feng +4 more
doaj +1 more source
Spatial Scene Memories Are Biased Towards a Fixed Amount of Semantic Information. [PDF]
Open Mind (Camb), 2023 Greene MR, Trivedi D.
europepmc +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
A Strategy for Fusing Semantic Information in Neural Machine Translation of Classical Chinese
IEEE AccessNeural machine translation (NMT) excels in high-resource languages but struggles with low-resource languages, such as translating Classical Chinese into modern Chinese.
Yan Su, Han Cao, Yuxiang Zhou
doaj +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Journal of ImagingIn domains such as autonomous driving, 3D object detection is a key technology for environmental perception. By integrating multimodal information from sensors such as LiDAR and cameras, the detection accuracy can be significantly improved.
Xiangjun Qu +6 more
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
FGSI: distant supervision for relation extraction method based on fine-grained semantic information. [PDF]
Sci Rep, 2023 Sun C +5 more
europepmc +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source