Yue Wang
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View article: Multi-UAV Dynamic Target Search Based on Multi-Potential-Field Fusion Reward Shaping MAPPO
Multi-UAV Dynamic Target Search Based on Multi-Potential-Field Fusion Reward Shaping MAPPO Open
In the cooperative search for dynamic targets by multiple UAVs, target uncertainty and system complexity pose significant challenges to cooperative decision-making. Multi-agent reinforcement learning (MARL) technology can be used for coope…
View article: Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation
Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation Open
Recent advances in distributed learning systems have introduced effective solutions for implementing collaborative artificial intelligence techniques in wireless communication networks. Federated learning approaches provide a model-aggrega…
View article: SaLon3R: Structure-aware Long-term Generalizable 3D Reconstruction from Unposed Images
SaLon3R: Structure-aware Long-term Generalizable 3D Reconstruction from Unposed Images Open
Recent advances in 3D Gaussian Splatting (3DGS) have enabled generalizable, on-the-fly reconstruction of sequential input views. However, existing methods often predict per-pixel Gaussians and combine Gaussians from all views as the scene …
View article: InstantSfM: Fully Sparse and Parallel Structure-from-Motion
InstantSfM: Fully Sparse and Parallel Structure-from-Motion Open
Structure-from-Motion (SfM), a method that recovers camera poses and scene geometry from uncalibrated images, is a central component in robotic reconstruction and simulation. Despite the state-of-the-art performance of traditional SfM meth…
View article: Zero-shot printed circuit board defect detection via optical flow and reconstruction guidance
Zero-shot printed circuit board defect detection via optical flow and reconstruction guidance Open
View article: High-Precision and High-Efficiency Trajectory Tracking for Excavators Based on Closed-Loop Dynamics
High-Precision and High-Efficiency Trajectory Tracking for Excavators Based on Closed-Loop Dynamics Open
The complex nonlinear dynamics of hydraulic excavators, such as time delays and control coupling, pose significant challenges to achieving high-precision trajectory tracking. Traditional control methods often fall short in such application…
View article: Landslide susceptibility assessment integrating deep transfer learning and physical models in the Baihetan reservoir area, China
Landslide susceptibility assessment integrating deep transfer learning and physical models in the Baihetan reservoir area, China Open
View article: Small but Strong: Lightweight Architecture Improves Lung Nodule Detection and Segmentation
Small but Strong: Lightweight Architecture Improves Lung Nodule Detection and Segmentation Open
Lung nodule detection and segmentation from computed tomography (CT) scans are essential for lung cancer diagnosis and therapy. Inspired by the substantial progress of neural networks in 2D natural images, current methods often adapt 2D ne…
View article: The MOTIF Hand: A Robotic Hand for Multimodal Observations with Thermal, Inertial, and Force Sensors
The MOTIF Hand: A Robotic Hand for Multimodal Observations with Thermal, Inertial, and Force Sensors Open
Advancing dexterous manipulation with multi-fingered robotic hands requires rich sensory capabilities, while existing designs lack onboard thermal and torque sensing. In this work, we propose the MOTIF hand, a novel multimodal and versatil…
View article: RoboVerse: A Unified Platform, Benchmark and Dataset for Scalable and Generalizable Robot Learning
RoboVerse: A Unified Platform, Benchmark and Dataset for Scalable and Generalizable Robot Learning Open
View article: Out-of-Distribution Detection with Prototypical Outlier Proxy
Out-of-Distribution Detection with Prototypical Outlier Proxy Open
Out-of-distribution (OOD) detection is a crucial task for deploying deep learning models in the wild. One of the major challenges is that well-trained deep models tend to perform over-confidence on unseen test data. Recent research attempt…
View article: UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation
UGNA-VPR: A Novel Training Paradigm for Visual Place Recognition Based on Uncertainty-Guided NeRF Augmentation Open
Visual place recognition (VPR) is crucial for robots to identify previously visited locations, playing an important role in autonomous navigation in both indoor and outdoor environments. However, most existing VPR datasets are limited to s…
View article: Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter Open
We study the task of language-conditioned pick and place in clutter, where a robot should grasp a target object in open clutter and move it to a specified place. Some approaches learn end-to-end policies with features from vision foundatio…
View article: Natural Humanoid Robot Locomotion with Generative Motion Prior
Natural Humanoid Robot Locomotion with Generative Motion Prior Open
Natural and lifelike locomotion remains a fundamental challenge for humanoid robots to interact with human society. However, previous methods either neglect motion naturalness or rely on unstable and ambiguous style rewards. In this paper,…
View article: SMART: Advancing Scalable Map Priors for Driving Topology Reasoning
SMART: Advancing Scalable Map Priors for Driving Topology Reasoning Open
Topology reasoning is crucial for autonomous driving as it enables comprehensive understanding of connectivity and relationships between lanes and traffic elements. While recent approaches have shown success in perceiving driving topology …
View article: Revisit Mixture Models for Multi-Agent Simulation: Experimental Study within a Unified Framework
Revisit Mixture Models for Multi-Agent Simulation: Experimental Study within a Unified Framework Open
Simulation plays a crucial role in assessing autonomous driving systems, where the generation of realistic multi-agent behaviors is a key aspect. In multi-agent simulation, the primary challenges include behavioral multimodality and closed…
View article: PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Open
Understanding the physical world is a fundamental challenge in embodied AI, critical for enabling agents to perform complex tasks and operate safely in real-world environments. While Vision-Language Models (VLMs) have shown great promise i…
View article: Economic Analysis of Supply Chain for Offshore Wind Hydrogen Production for Offshore Hydrogen Refueling Stations
Economic Analysis of Supply Chain for Offshore Wind Hydrogen Production for Offshore Hydrogen Refueling Stations Open
In order to solve the problem of large-scale offshore wind power consumption, the development of an offshore wind power hydrogen supply chain has become one of the trends. In this study, 10 feasible options are proposed to investigate the …
View article: Effects of nitrate and nitrite on the UV/PDS process: performance and byproduct formation from the perspective of substituents
Effects of nitrate and nitrite on the UV/PDS process: performance and byproduct formation from the perspective of substituents Open
NO 3 − /NO 2 − affected the removal of Ph, BA and SA in UV/PDS via substituent-driven electron density and RNS. Substituents guided reactive species' attack sites and N-byproduct formation.
View article: Nanofibers and Cations-Boosted High Thermoelectric Performance Hydrogel Thermocell for Energy-Harvesting and Wearable Sensing Sensing
Nanofibers and Cations-Boosted High Thermoelectric Performance Hydrogel Thermocell for Energy-Harvesting and Wearable Sensing Sensing Open
View article: Bacterial Cellulose Nanofibers and Cations-Boosted High Thermoelectric Performance Hydrogel Thermocell for Energy-Harvesting and Wearable Sensing
Bacterial Cellulose Nanofibers and Cations-Boosted High Thermoelectric Performance Hydrogel Thermocell for Energy-Harvesting and Wearable Sensing Open
View article: DreamDrive: Generative 4D Scene Modeling from Street View Images
DreamDrive: Generative 4D Scene Modeling from Street View Images Open
Synthesizing photo-realistic visual observations from an ego vehicle's driving trajectory is a critical step towards scalable training of self-driving models. Reconstruction-based methods create 3D scenes from driving logs and synthesize g…
View article: Out-of-Distribution Detection with Prototypical Outlier Proxy
Out-of-Distribution Detection with Prototypical Outlier Proxy Open
Out-of-distribution (OOD) detection is a crucial task for deploying deep learning models in the wild. One of the major challenges is that well-trained deep models tend to perform over-confidence on unseen test data. Recent research attempt…
View article: Multi-cam Multi-map Visual Inertial Localization: System, Validation and Dataset
Multi-cam Multi-map Visual Inertial Localization: System, Validation and Dataset Open
Robot control loops require causal pose estimates that depend only on past and present measurements. At each timestep, controllers compute commands using the current pose without waiting for future refinements. While traditional visual SLA…
View article: One-Pot Synthesis of Highly Dispersed VO2 on g-C3N4 Nanomeshes for Advanced Oxidation
One-Pot Synthesis of Highly Dispersed VO2 on g-C3N4 Nanomeshes for Advanced Oxidation Open
Advanced oxidation catalyzed by metal oxides is a promising approach for degrading organic pollutants in wastewater. A critical strategy to enhance the performance of these catalysts is optimizing the dispersion of their active components …
View article: Analysis of risk factors of feeding intolerance in ICU patients with enteral nutrition
Analysis of risk factors of feeding intolerance in ICU patients with enteral nutrition Open
Objective To investigate the risk factors of feeding intolerance in ICU patients with enteral nutrition. Methods Totally 504 ICU patients who received enteral nutrition support were selected and divided into tolerance group (n=331) and int…
View article: AttentionPainter: An Efficient and Adaptive Stroke Predictor for Scene Painting
AttentionPainter: An Efficient and Adaptive Stroke Predictor for Scene Painting Open
Stroke-based Rendering (SBR) aims to decompose an input image into a sequence of parameterized strokes, which can be rendered into a painting that resembles the input image. Recently, Neural Painting methods that utilize deep learning and …
View article: Neural Eulerian Scene Flow Fields
Neural Eulerian Scene Flow Fields Open
We reframe scene flow as the task of estimating a continuous space-time ODE that describes motion for an entire observation sequence, represented with a neural prior. Our method, EulerFlow, optimizes this neural prior estimate against seve…
View article: Reconfigurable Transparent Variable‐Stiffness Soft Robot for Underwater Operations
Reconfigurable Transparent Variable‐Stiffness Soft Robot for Underwater Operations Open
View article: RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning
RING#: PR-by-PE Global Localization with Roto-translation Equivariant Gram Learning Open
Global localization using onboard perception sensors, such as cameras and LiDARs, is crucial in autonomous driving and robotics applications when GPS signals are unreliable. Most approaches achieve global localization by sequential place r…