yusuke1997/dblp-id-title huggingface dataset:
A Liquid Level Testing Method for Working Fluids Near Critical State Based on Three Differential-Pressure Transducers
A Few Samples Underwater Fish Tracking Method Based on Semi-supervised and Attention Mechanism
Design of high stable liquid mirror control system
9th International Conference on Robotics, Control and Automation, ICRCA 2025, Shanghai, China, March 7-9, 2025
Design and Analysis of Zero Backlash Structure for Gear Driven Robot Joint
Path Planning for Coverage Spraying of Plants in Outdoor Wheeled Mobile Robots
Inverse Kinematics Algorithm for 7-DOF Manipulator with Offset and its Application
Research on Borehole Identification Under Tunnel Blasting Based on YOLOv5
Trajectory Optimization Algorithm Based on Time-Optimal Cooperative Six-Axis Robot
Design of a Pneumatic-Actuated Soft Robotic End-Effector with Variable Stiffness via Positive Pressure Layer-Jamming
Nonlinear Model Predictive Control for Autonomous Flight Using Aircraft Flight Control Surfaces
A Space Information-Enhanced Dense Video Caption for Indoor Human Action Recognition
A Novel Approach to Estimating Runout Effect in High-Speed Milling
Research on Document Layout Detection and Description Method for Retrieval-Augmented Generation of Large Language Model
Principle and Analysis of Variable Stiffness Joints
Nonlinear Model Predictive Control Using State Estimation for Stabilization of Vehicle Dynamics to Avoid the Secondary Accident
Research on Event Accumulator Settings for Event-Based SLAM
Improved Utilization Methodology of BERT Specialized in Text Classification
Electrothermal and Electromagnetic Analysis and Thermal Management Design of Core-replaceable Film Capacitors
Genetic Algorithm-Based Image Segmentation Strategy for Laser Rapid Processing of Bitmap Scanning
UAV-Assisted Logo Inspection: Deep Learning Techniques for Real- Time Detection and Classification of Distorted Logos
Research on Outdoor Localization of Robot Integrating Multiple Information Sources
Research and Design of Automatic Posture Adjustment System for Space Deployment Arm Joints
Research on the Role of MCP Regularization in Bearing Fault Diagnosis
Research on Deployment Strategy Based on Transfer Ramps for Mars Rover
A Robotic Arm Grasping System Based on Computer Vision and Brain-Computer Interface
Design, Analysis and Obstacle Avoidance Control of a Smart Wheelchair
Motion Error Analysis of High-speed Parallel Robots
Mobile Robot Path Planning Based on Improved Elite Ant Colony Algorithm
Learning Nonlinear Marine Predator Algorithm for Multi-objective Optimization of Setpoints in Wastewater Treatment Operations
Adaptive Locomotion Controller for a Quadruped Robot on a High-Slope Terrain
Biasing Bending DEA-enabled Serial Kinematic thin Soft Robot for Locomotion and Manipulation in Confined Spaces
Kinematics of Adjusting Parallel Mechanism for Component Assembly
A Biogeography-Based Optimization Algorithm with Heuristics for Distributed Multiproduct Scheduling Problem
Dynamic Event-Triggered H∞ Fault-Tolerant Control of NCSs under Dual-Channel Deception Attacks
Model-Compensated Active Disturbance Rejection Control for PMSM Based on Parameters Identification
Robot Ground Laser Point Clouds Segmentation Algorithm Based on Adaptive Slope Threshold
Research on FPGA-Based Functional Safety Diagnosis System
Intelligent PID Controller Based on Deep Reinforcement Learning
Visual Data Restoration for Pipeline Inspection Robots by Compressed Sensing
Modeling and Compensation of Hysteresis of Piezoelectric Actuators by Utilizing Asymmetric Play Operator
Kinematic Modelling and Simulation of LeArm Robot
Energy optimal UAV path planning for full area coverage: A Review
Fuzzy Adaptive Second Order Terminal Sliding Mode Trajectory Tracking Control for Robotic Manipulator
Research on Methods of Pavement Distress Detection Based on Object Detection Convolutional Neural Network
Kinematic Parameter Solution for Automotive Hood Spraying Robot
Joint Space Variable Impedance Control in Stair Descent of a Wheeled Humanoid Robot
A Broad Learning System Based Method for Estimating Force in Human-Robot Interaction
Exoskeleton Upper Limb Robot: Classification, Key Technology and Research Direction
Efficient Multi-Agent Reinforcement Learning for Pursuit-Evasion Game of Unmanned Surface Vessels with a Faster Evader
Method of Eliminating Reflection Interference for Image Recognition in Autonomous Driving
Fault Tolerant Control for a Quad-Rotor Subjected to Partial Single-Actuator Fault
Fast and Accurate: The Perception System of a Formula Student Driverless Car
Design and Performance Evaluation of a Knee Assist Exoskeleton Based on Bowden Cables Transmission
High Misalignment Tolerance Wireless Power Transfer System for Mining Unmanned Vehicle with a Low Cost Semicylinder Magnetic Coupler
Locating Screw Grooves in Non-Visual Environments Based on Force Feedback Control
Analysis and Prediction of Fatigue Life for Suspension
Integration of YOLOP and Kalman Filter on ROS2 platform for Enhanced Lane Detection of AI Formula Robot
Finite Element Simulation Study of Ultrasonic-Assisted Vibration Cutting of Carbon Fiber Reinforced Polyetherketoneketone (CF/PEKK)
Research on the Evaluation of Lane-changing Models Based on Improved TOPSIS
Anomaly Detection for Escalators Based on Feature Optimization and Improved GMM Algorithm
Improved A * Algorithm for Autonomous Vehicle Path Planning under Post-disaster Rescue Scene
Kinematic Modeling and Prototype Experiment of Flexible Supernumerary Robotic Finger
Equilibrium Stability Analysis in Neural Networks
Research on Intelligent Command Technology of Navigation Control Reach of Yangtze River
Efficiency Analysis of Cooperative Robot Based on Dynamic Parameter Identification
Faster Trajectory Planning for Lane Change Scenarios with Dynamic Environment
Artificial Intelligence-Driven Innovations in SLAM for Robotics and Autonomous Navigation
Research on Governing Characteristics and Sliding Ratio of Rubber Belt CVT and Its Mechanical Adjustment Method
Vulnerabilities Analysis and Secure Controlling for Unmanned Aerial System Based on Reactive Synthesis
Motion Simulation Control System of Detecting Robot Based on Digital Twin
Comparison of Algorithm and Kernel Accuracy in Defect Detection Using Pressure in Sleeve Soldering Equipment
MIMO Control of a Twin Rotor Aerodynamical System(TRAS)
Hysteresis Characteristics of Pneumatic Artificial Muscle
Trajectory State Model-based Reinforcement Learning for Truck-trailer Reverse Driving
Aircraft Attitude Data Fusion Based on Gradient Descent Algorithm
Transformer Based Sptial-Temporal Extraction Model for Video Anomaly Detection
Observer-based Practical Predefined-time Distributed Formation Control for AUVs
Real-Time Deep Learning Based Safe Autonomous Navigation
Optimization Design of the Toroidal Worm Wheel Hob for Robotic Joint with Worm Gear Pair Transmission
Towards Reliable CIDS: Hybrid Reputation and Challenge Strategies for Combating Internal Attacks
Development of SimuLink-Based Physical Experiment Platform for EtherCAT Bipedal Robots
Research on Distributed Control-Based Multi-UAV Cooperative Target Coverage Method
A Spatial Alignment Method for Medical Ear Canal Based on Simplified Transformer Module and MultiScale Iterative Structure
Design of FDM Printer Controller Detection System
Artificial Potential Field-Enhanced Deep Reinforcement Learning for Motion Planning
Research and Application of Tablet Backplane Detection Algorithm Based on Machine Vision
CNC Control and Simulation System for the Artisanal Cutting of Leather Accessories from a Shoe Factory
Equipment Failure Prediction Based on the Gray Markov Model
Research on Obstacle Avoidance Trajectory for Robots Based on RRT Algorithm
MLS: A Meta-Learning Based Stackelberg Model for Robot Trajectory Guidance
Analysis of Desilting Efficiency of Spiral Dredging Auger Based on EDEM
Research on Low Energy Consumption AC System Control Strategy of Battery Electric Vehicles
Nonlinear Model Predictive Control for Torsional Damper Vibration of Automobile Clutch
Oil Leakage Detection in Automobile Shock Absorber using Machine Learning Classifiers
Target Detection Method Based on Joint Matching of Edge and Region Features
Path Planning for Amphibious Robots with Energy Constrained
An improved pre-processing method for cyber physical systems - as illustrated in the earth observation satellite scheduling: Pre-processing method for cyber physical systems
Design and Implementation of Novel Power Electronic Transformer for Smart Grid
Design of Multi-lane Formation Transformation Method Driven by Finite State Machine
A Simple Confidence-Supervised Model for High-Resolution Defect Recognition
Research on Methods of Vehicle Image Retrieval in Expressway Scenarios Based on Deep Learning Neural Network
Kinematic Modelling and Simulation of Six-DOF Collaborative Robot
Design Research on Shock Absorption in Biped Robots
Real-time Trajectory Planning for Redundant 7-dof Space Manipulators with Unknown Link Lengths
A Multi-Feature Migration Fog Generation Model
Active Disturbance Rejection Control of Fast Steering Mirror Based on Sparrow Search Algorithm
Design and Manufacture a Cheap Equipment to Measure Human Arm Motion in Developing Countries
Implementing Robotic Pick and Place with Non-visual Sensing Using Reinforcement Learning
Many-Objective Optimization of Distributed Heterogeneous Hybrid Flowshop Lot-Streaming Scheduling Problem with Missing Operations
Efficient and High-quality Neural Implicit RGB-D Surface Reconstruction with Volume Feature Rendering
Methods and Implementation Ideas for Mitigating Errors in Complex Systems Development
Study on a Novel Snake Arm Robot for Working in a Narrow Space
Fault Model Establishment and Hybrid Neural Network Diagnosis for Manipulator
Design, Modeling, and Bionic Applications of a Rigid-soft Integrated Soft Actuator
Self-reconfiguration Strategy of Modular Robot Based on Topological Graph Comparison Algorithm
A Hybrid Method for INS/GPS Integrated Navigation System Based on the Improved Karman Filter and Back Propagation Neural Network
MR Meets Robotics: A Review of Mixed Reality Technology in Robotics
Confusion Intensity Estimation using Graph Convolutional Networks with Facial Action Unit Clues
Simulation Research on Active Power Filter Application Based on Auto Disturbance Rejection Control
Dynamic viscoelastic analysis and experiment of an aerospace silicone rubber damper based on DMA test
Disturbance-observer-based Controll of the Underwater Vehicle for Manipulation
Virtual Motoneuron Learning Network for Trajectory Generation of Legged Robot
Research and Development of Intelligent Warehouse Management System Based on RFID Technology
Dynamic Performance of High-altitude Balloons during Ascent and Descent
Based on Distributed Detection: Automatic Docking and System Simulation of Compartments
Multi-Scale Feature Fusion Based on Improved YOLOv8 Networks for Visual Relationship Detection
The Innovative Multi-Cavity Pneumatic Actuator: A Chemical Reaction-Driven Device for Generating Mechanical Crawling Motion
A Joint Torque Sensor Based on Strain Gauge for Collaborative Robot
Enhancing Wearable Technologies for Dementia Care: A Cognitive Architecture Approach
An Adaptive Interpretable Safe-RL Approach for Addressing Smart Grid Supply-Side Uncertainties
Ladder of Intentions: Unifying Agent Architectures for Explainability and Transferability
A Framework for Explainable Multi-purpose Virtual Assistants: A Nutrition-Focused Case Study
Evaluation of the User-Centric Explanation Strategies for Interactive Recommenders
Beyond Satisfaction: From Placebic to Actionable Explanations for Enhanced Understandability
Explainable and Transparent AI and Multi-Agent Systems - 6th International Workshop, EXTRAAMAS 2024, Auckland, New Zealand, May 6-10, 2024, Revised Selected Papers
Leveraging Imperfect Explanations for Plan Recognition Problems
Model-Agnostic Policy Explanations: Biased Sampling for Surrogate Models
py_ciu_image: A Python Library for Explaining Image Classification with Contextual Importance and Utility
Social Explainable AI: What Is It and How to Make It Happen with CIU?
Bottom-Up and Top-Down Workflows for Hypercube- And Clustering-Based Knowledge Extractors
Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
Inherently Interpretable Deep Reinforcement Learning Through Online Mimicking
Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems - 7th International Workshop, EXTRAAMAS 2025, Detroit, MI, USA, May 19-20, 2025, Revised Selected Papers
Balancing Ethical Persuasion and Explanation Transparency in XAI: A Formal Framework for Adaptive User Interactions
Explainable and Transparent AI and Multi-Agent Systems - 5th International Workshop, EXTRAAMAS 2023, London, UK, May 29, 2023, Revised Selected Papers
Towards Interactive and Social Explainable Artificial Intelligence for Digital History
Dialogue Explanations for Rule-Based AI Systems
Designing for Effective Human-XAI Interaction: User Experience Research Plays and Cards
Optimised Timing of Multi-step Explanations for Multiple Users Through Reactive Games
Learning Temporal Task Specifications From Demonstrations
Mining and Validating Belief-Based Agent Explanations
The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing
Evaluating a Mechanism for Explaining BDI Agent Behaviour
Explaining Autonomous Vehicles with Intention-Aware Policy Graphs
Enhancing Surrogate Decision Trees for Reinforcement Learning with Feature Importance Matrices
On the Need of a Decolonized AI Ethics and Governance Framework for Human-GenAI Cooperation in the Art Sector: A Roadmap
Reinterpreting Vulnerability to Tackle Deception in Principles-Based XAI for Human-Computer Interaction
Effect of Agent Explanations Using Warm and Cold Language on User Adoption of Recommendations for Bandit Problems
Temporal Explanations of Deep Reinforcement Learning Agents
The Wildcard XAI: from a Necessity, to a Resource, to a Dangerous Decoy
Explanation of Deep Learning Models via Logic Rules Enhanced by Embeddings Analysis, and Probabilistic Models
A General-Purpose Protocol for Multi-agent Based Explanations
Estimating Causal Responsibility for Explaining Autonomous Behavior
Can Interpretability Layouts Influence Human Perception of Offensive Sentences?
LLM-Based Evaluation Methodology of Explanation Strategies
Metrics for Evaluating Explainable Recommender Systems
Engineering Inter-agent Explainability in BDI Agents
Counterfactual, Contrastive, and Hierarchical Explanations with Contextual Importance and Utility
Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China
Exploiting Constraint Reasoning to Build Graphical Explanations for Mixed-Integer Linear Programming
Imperative Action Masking for Safe Exploration in Reinforcement Learning
Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification
Reinforcement Learning in Cyclic Environmental Changes for Agents in Non-Communicative Environments: A Theoretical Approach
Programming (and Learning) Self-Adaptive & Self-Organising Behaviour with ScaFi: for Swarms, Edge-Cloud Ecosystems, and More
SMOTEC: An Edge Computing Testbed for Adaptive Smart Mobility Experimentation
Towards Autonomous Goal Management: A Decision Theoretic Approach and Key Challenges
Assessment of Configuration Stability and Variability in Collections of Self-Adaptive Systems
The Development of Play and Self* Systems
Situational Trust in Self-aware Collaborating Systems
Towards First-Class Human Involvement in Digital Twin-Enabled Socio-Cyber-Physical Systems
Online Learning of Temporal Dependencies for the Sustainable Foraging Problem
A self-configuring and adaptive privacy-aware permission system for Android apps
ReBeT: Architecture-based Self-adaptation of Robotic Systems through Behavior Trees
Six Software Engineering Principles for Smarter Cyber-Physical Systems
A generic and decentralized approach to XAI for autonomic systems: application to the smart home
Implementing CUDA Unified Memory in the PyTorch Framework
CoMPass: A Roadmap to Collaborative Perception and Autonomy in Maritime Systems
Towards Self-Adaptive Cooperative Learning in Collective Systems
Bayesian Optimization-Based Analysis and Planning Approach for Self-Adaptive Cyber-Physical Systems
EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Target-Aware Visibility Estimation using Offline Reinforcement Learning
Sustainable AI & Agricultural Technologies
Architecture for a Dynamic Security Service Function Chain Reordering Framework
Autonomous Multi-Cloud Application Deployment and Optimized Management Using Open Source Frameworks
Interactive Methodology to Iteratively Add Functionality to Swarm Programs
Self-Patch: Beyond Patch Tuesday for Containerized Applications
Distributed Constraint Optimization for Task Allocation in Self-Adaptive Manufacturing Systems
HeyCitI: Healthy Cycling in a City using Self-Adaptive Internet-of-Things
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2025 - Companion, Tokyo, Japan, September 29 - Oct. 3, 2025
Towards a Plug-In Architecture to Enable Self-Adaptation through Middleware
Message from the General Chairs ACSOS 2023
Enhancing a Communication System with Adaptive Behavior using REACT
A Meta Reinforcement Learning-based Approach for Self-Adaptive System
Fostering resilient execution of multi-agent plans through self-organisation
Meta-Adaptation Goals: Leveraging Feedback Loop Requirements for Effective Self-Adaptation
Engineering Adaptive Authentication
Q-Spark: QoS Aware Micro-batch Stream Processing System Using Spark
Intelligent Pulverised Collective-Adaptive Systems
Multi-Perspective Explanations for Multi-Agent Systems
Self-Aware Microsystems
Assessing Adaptations based on Change Impacts
ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components
Digital Twins for Autonomous Intelligent Systems: From Development to Deployment
Automatic Adaptation Rule Optimization via Large Language Models
Radii of Emergent Patterns in Swarmalator Systems
On Adapting SNMP as Communication Protocol in Distributed Control Loops for Self-adaptive Systems
How to Coordinate Decisions at Large Scale? A Hands-on Tutorial on Collective Learning for Smart Cities and Beyond
Load Balancing for Microservice Service Meshes
Self-Adaptive Systems Challenges in Delivering Object-Based Media
Evolving Processing Pipelines for Industrial Imaging with Cartesian Genetic Programming
Dynamic Storage Selection for Mitigating Tail Latency in Serverless Pipelines
Evaluating performance of Parallel Matrix Multiplication Routine on Intel KNL and Xeon Scalable Processors
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2024, Aarhus, Denmark, September 16-20, 2024
Collective Adaptive Systems as Coordination Media: The Case of Tuples in Space-Time
Reducing the Tail Latency of Microservices Applications via Optimal Configuration Tuning
Finding Relevant Causes in Complex Systems: a Generic Method Adaptable to Users and Contexts
SoftwarePilot: Fully Autonomous Aerial Systems Made Easier
YODA: Yet anOther agent Description lAnguage
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2022, Virtual, CA, USA, September 19-23, 2022
A Hybrid Architecture for an Autonomous Maritime Water-Taxi Fleet
Employing Stochastic Multiplayer Games to Support Self-Organization over Ad Hoc Networks
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2021, Companion Volume, Washington, DC, USA, September 27 - Oct. 1, 2021
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2021, Washington, DC, USA, September 27 - Oct. 1, 2021
Complexity Magnifiers Simplify Environment Models
Self-Protection for Unmanned Autonomous Vehicles (SP-UAV): Design Overview and Evaluation
SW Runtime Estimation using Automata Theory and Deep Learning on HPC
Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems
DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters
CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning
Surrogate Modelling for Complexity Reduction in Self-Organising Multi-Agent Systems
The Problem with Real-World Novelty Detection - Issues in Multivariate Probabilistic Models
Message from the Workshop Chairs ACSOS 2023
Interoperable AI for Self-Organisation
Lightweight and Reconfigurable Security Architecture for Internet of Things devices
Exploring the Potential of Self-Organizing Applications in Energy Networks
A Decentralized Approach to Explanatory Artificial Intelligence for Autonomic Systems
Deadlock Avoidance for Multiple Tasks in a Self-Organizing Production Cell
Overcooked Plus: A Comprehensive Cooking Scenario TestBed for Enhancing the Evaluation of Autonomous Planning Algorithms
Preventing Consent Violations Due to Self-Adaptation at Runtime in Self-Adaptive Systems that Process Personal Data
Adapting the Behavior of Reinforcement Learning Agents to Changing Action Spaces and Reward Functions
Performance Variability and Causality in Complex Systems
Think Before You Act: Popperian Expectations for Adaptive Agents
Adaptive Control of Data Center Cooling using Deep Reinforcement Learning
A Framework for Self-Explaining Systems in the Context of Intensive Care
Self-Assembly and Synchronization: Crafting Music with Multi-Agent Embodied Oscillators
Science Beyond Quantification? Integrating Objective and Subjective Views in Unpredictable Worlds
ExpEngine: A Tool for Data Analytics Workflow Optimization Through User-Driven Experimentation
Render Cost Driven Caching for Object-Based Media
Modelling Collaborative Resilient Behavior of Multi-Agent Systems
HS-ims: A Platform for Human-Swarm Interactive Music Systems
Towards an Uncertainty-aware Decision Engine for Proactive Self-Protecting Software
ClearCausal: Cross Layer Causal Analysis for Automatic Microservice Performance Debugging
Opportunistic Knowledge Adaption in Self-Learning Systems
REBA: Robotic Emotional-Based Awareness
Designing Self-Adaptive Software Systems with Control Theory: An Overview
Toward Interference-aware GPU Container Co-scheduling Learning from Application Profiles
REACT: A Model-Based Runtime Environment for Adapting Communication Systems
2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2020, Companion Volume, Washington, DC, USA, August 17-21, 2020
A Run-Time Verification Toolkit for Self-Adaptive Systems Supporting Dynamic Model Changes
Addressing Collective Computations Efficiency: Towards a Platform-level Reinforcement Learning Approach
Towards a Multi-Armed Bandit Approach for Adaptive Load Balancing in Function-as-a-Service Systems
Automating GUI Testing with Image-Based Deep Reinforcement Learning
Towards a Self-Adaptive, Real-Time Monitoring System for Food Quality Assessment
Online Self-Calibration for Agent-Based Modelling
Design-Time Validation of Runtime Reconfiguration Strategies: An Environmental-Driven Approach
Self- Integration and Agent Compatibility
Hyperparameter Optimization for Deep Residual Learning in Image Classification
FCPP: an efficient and extensible Field Calculus framework
Security Fault Tolerance for Access Control
Prolego: Time-Series Analysis for Predicting Failures in Complex Systems
Performance Comparison of Simple Reflex Agents Using Stigmergy with Model-Based Agents in Self-Organizing Transportation
Towards a Framework for Adapting Machine Learning Components
Towards Autoscaling with Guarantees on Kubernetes Clusters
Towards a Method for Characterizing and Improving Integration among Different Systems
MERIT: Model-driven Rehoming for VNF Chains
Ethics in Self-* Sociotechnical Systems : (Tutorial Abstract)
Adaptive Multi-Agent Programming with Promises
The Impact of Multi-scale Control Topology on Asset Distribution in Dynamic Environments
FLAg-SwaP: Distributed Federated Learning Aggregation using Particle Swarm-based Placement
Message from the Doctoral Symposium Chairs ACSOS 2020