Results 121 to 130 of about 24,061,183 (328)
Multispectral Image Caption Unification Using Diffusion and Cycle GAN Models
A major limitation is the scarcity of geospatial datasets that simultaneously provide multispectral imagery and descriptive captions. In particular, datasets containing aligned RGB, multispectral, and caption information remain highly limited. Therefore,
Kursat Komurcu, Linas Petkevicius
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Feature Calibrating and Fusing Network for RGB-D Salient Object Detection
Due to their imaging mechanisms and techniques, some depth images inevitably have low visual qualities or have some inconsistent foregrounds with their corresponding RGB images.
Q. Zhang +4 more
semanticscholar +1 more source
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
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Hyperspectral imaging (HSI) is a powerful tool for precision imaging tasks such as vegetation analysis, but its widespread use remains limited due to the high cost of equipment and challenges in data acquisition. To explore a more accessible alternative,
Gwanghyeong Lee +5 more
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
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
Empowering Efficient Spatio-Temporal Learning with a 3D CNN for Pose-Based Action Recognition
Action recognition based on 3D heatmap volumes has received increasing attention recently because it is suitable for application to 3D CNNs to improve the recognition performance of deep networks.
Ziliang Ren, Xiongjiang Xiao, Huabei Nie
doaj +1 more source
Comparative analysis of endoscopic and nutritional outcomes following distal gastrectomy: Roux-en-Y, uncut Roux-en-Y, and Billroth II with Braun anastomosis [PDF]
Purpose This study aimed to compare clinical, nutritional, and endoscopic outcomes among Roux-en-Y (RY), uncut Roux-en-Y (uRY), and Billroth II with Braun anastomosis (BB) reconstruction methods in gastric cancer patients after distal gastrectomy ...
Tae-Han Kim +5 more
doaj +1 more source
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source

