Human-machine interaction is an important aspect of exchanging information between the virtual reality world and the physical world. Haptic information interaction enables users to have immersive and efficient interac...
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the proceedings contain 136 papers. the topics discussed include: research on modeling method of globoidal cam mechanism;distributed event-triggered group attitude coordinated control of multi-spacecraft with undirect...
the proceedings contain 167 papers. the topics discussed include: high speed pseudo-random signal generator based on FPGA;design of radar transmitter video monitor system based on template matching;automated retinal e...
ISBN:
(纸本)9781728133263
the proceedings contain 167 papers. the topics discussed include: high speed pseudo-random signal generator based on FPGA;design of radar transmitter video monitor system based on template matching;automated retinal edema detection from fundus and optical coherence tomography scans;evaluation of reconnaissance performance of optical satellites for ground-moving-target;redundant anticipatory control to avoid wind turbine failures based on SCADA data;a backstepping control strategy for constrained tendon driven robotic finger;an auto-recharging system design and implementation based on infrared signal for autonomous robots;robust control of dual-arm space manipulator for capturing operation;and design of remote monitoring system for heating network based on genetic algorithm PID.
the proceedings contain 23 papers. the topics discussed include: design and implementation of novel power electronic transformer for smart grid;fault tolerant control for a quad-rotor subjected to partial single-actua...
ISBN:
(纸本)9781450387484
the proceedings contain 23 papers. the topics discussed include: design and implementation of novel power electronic transformer for smart grid;fault tolerant control for a quad-rotor subjected to partial single-actuator fault;nonlinear model predictive control using state estimation for stabilization of vehicle dynamics to avoid the secondary accident;design, analysis and obstacle avoidance control of a smart wheelchair;design of fractional order controller for PMSM based on the improved particle swarm optimization algorithm;design of high stable liquid mirror control system;a novel reversal method for measurement of rotary manipulator geometric errors;and defect classification using pressure change of sleeve soldering machine.
the proceedings contain 62 papers. the topics discussed include: neural sliding mode control using neural disturbance observer for gyroscopes;extended Kalman filter-based vehicle state estimation for direct yaw moment...
ISBN:
(纸本)9781665459419
the proceedings contain 62 papers. the topics discussed include: neural sliding mode control using neural disturbance observer for gyroscopes;extended Kalman filter-based vehicle state estimation for direct yaw moment control systems;improved fully adjusted neural network based recursive terminal sliding mode control for MEMS gyroscopes;integrated design of feedback control and fault detection based on reduced-order observer;model free adaptive control for industrial engraving machine system;event-triggered fault detection and control in generalized internal model control framework;simulation of liquid level cascade control system based on genetic fuzzy PID;adaptive backstepping control of dual-motor driving servo system based on RBF neural network;design and research for the control system of a micro autonomous underwater vehicle;and an intrusion signal recognition method for substation perimeter security.
the proceedings contain 25 papers. the special focus in this conference is on Intelligent Transport Systems. the topics include: Interoperable Traceability in Supply Chains: A Use Case in Agritech;treemob: E...
ISBN:
(纸本)9783031863691
the proceedings contain 25 papers. the special focus in this conference is on Intelligent Transport Systems. the topics include: Interoperable Traceability in Supply Chains: A Use Case in Agritech;treemob: Expressive Mobility Data Representation through Tree-Based Structures;From GPS Traces to Individual Emission Exposure: A Data-Driven Four-Step Process;capacity Vehicle Routing Problem with Time Windows: Simulation Tool for Footprint Network Design;chain of Portable Health Folders: A Systematic Literature Review;integrating Metro Infrastructure in Circular Food Supply Chains: A Model for Decentralized Quito’s Food Bank Network Redesign;An AutoML Approach for Bike Demand Forecasting and Redistribution;adaptive Stop-Skipping Scheduling Approach Using Reinforcement Learning;machine Learning Approach for Labeling Undetected Planned Trips in Public Transport Operators;reinforcement Learning Algorithms with Graph Convolution Networks for Traffic Signal control;optimizing Intelligent Transportation Systems with Multi-agent Reinforcement Learning: A Socio-economic Impact Assessment;a Mobile Application to Secure Pedestrians Interacting with Automated Vehicles;A Simulation-Based Security Benchmarking Approach for Assessing Cooperative Driving automation (CDA) Applications;wireless Interference and Regulatory Frameworks for Frequency Allocation in V2X Communication Systems;runtime Norms Regulation Framework for Drones’ Smart Cities Applications;a Data-Driven Integrated Framework for Virtual Testing of Autonomous Vehicles in Mixed Traffic Scenarios;federated Learning for Lane-Change Prediction;Evaluating Traffic control Strategies for Autonomous Shuttle in Different AV Penetration, Using SUMO Traffic Simulation;Adaptive Video Bitrate Allocation for Remotely Operated Vehicles (ROV);experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs Against Environmental Factors;impact of Network Delays on Edge-Assisted Platooning Systems in 5G Networks: Addressing Lat
Humans and robots increasingly work collaboratively in work environments. their synergy varies between simple co-existence, wherein they perform independently in shared spaces, to deep collaboration, wherein the joint...
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ISBN:
(纸本)9783031807749;9783031807756
Humans and robots increasingly work collaboratively in work environments. their synergy varies between simple co-existence, wherein they perform independently in shared spaces, to deep collaboration, wherein the joint outcome of their co-working cannot be attributed to either one of the two types of actors alone. Relevant concepts are that of human agency, when robots operate under human oversight, with humans assuming control in appropriate circumstances, and sliding autonomy, where control slides back and forth between humans and robots, depending on the situational context. this study introduces an ontology framework for human-robot interoperability (HRI) in dynamic construction environments. the ontology serves as a context model, facilitating task allocation and collaboration between humans and robots under a Construction Sliding Work Sharing (CSWS) scheme. While previous ontology designs focused either on aspects of construction processes or human-robot collaboration, the ontological formalization of the intersection of HRI and dynamic construction environments is unexplored. the CSWS ontology integrates human-centricity, dynamic task distribution, and human-robot interoperability concepts in construction settings. the ontology development process combines concepts distilled from qualitative content analysis of a construction case study with relevant concepts from previous literature and ontologies. the ontology is consistent withthe Sliding Work Sharing (SWS) concept, an extension of sliding autonomy for dynamic task allocation across human and robot actors. the capacity of the CSWS ontology to support dynamic task allocation and human-robot collaboration is exemplified via use cases querying for agent safety, process errors, and human-robot collaborative activities.
the integration of semantic web technologies in the Architecture, Engineering, and Construction (AEC) industry has gained momentum in recent years, with promising studies being conducted for various use cases. Further...
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ISBN:
(纸本)9783031842078
the integration of semantic web technologies in the Architecture, Engineering, and Construction (AEC) industry has gained momentum in recent years, with promising studies being conducted for various use cases. Furthermore, its necessity has been implied in the Building Information Modelling (BIM) Maturity Level 3, which focuses on fully integrated collaboration and open data standards and transfer. the main drivers of implementing semantic web technologies in a multi-data environment like the AEC industry are to overcome interoperability issues, link across domains, and facilitate logical inference and proof. the construction execution phase encompasses multiple stakeholders delivering data from multiple domains in heterogeneous formats, which needs to be put to better use for optimal project delivery. thus, this study explores how semantic web technology can be applied for BIM-based project management and control during the execution phase through a comprehensive review of the literature to identify existing semantic web applications and their limitations to determine the gaps in knowledge. the development of ifcOWL ontology has spurred attention on developing domain ontologies to be integrated withthe ifcOWL for the seamless automation of construction activities. the study identified several ontology-based semantic web applications for project control in a BIM-based environment, for example, 4Dcollab ontology for Synchronous Collaboration Sessions for decision making, LinkOnt for lookahead planning enabled construction constraint checking, CPPC ontology for construction product control, etc. Furthermore, many studies were recorded related to semantic web technology-based 4D BIM use cases, such as automated schedule generation, automated construction sequencing, collaboration, and constraint checking. A consistent idea across these studies is the emphasis on the need for knowledge modelling leveraging data accumulated through both pre-construction and construction
the traditional approach to identifying paddy leaf diseases in Malaysia's agriculture sector involves visual inspection by farmers or agricultural experts. However, this method heavily relies on human expertise to...
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Trajectory planning for redundant space manipulators in complex spatial environments is critical for ensuring successful on-orbit task execution, especially when the manipulator’s link lengths are unknown. Traditiona...
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ISBN:
(数字)9798331544577
ISBN:
(纸本)9798331544584
Trajectory planning for redundant space manipulators in complex spatial environments is critical for ensuring successful on-orbit task execution, especially when the manipulator’s link lengths are unknown. Traditional algorithms struggle to establish the transformation between task space and joint space under such conditions, posing significant challenges to autonomous trajectory planning. this study proposes a novel trajectory planning method for a seven-degree-of-freedom redundant space manipulator with a shoulder-wrist offset. the method utilizes a trained pose control decision system to generate continuous, smooth, and singularity-free trajectories in real time, satisfying positional and orientational accuracy requirements for target capture. A neural network with strong nonlinear fitting capabilities is employed as the position control decision module for joints 1-4, trained using a "cautious exploration, greedy exploitation" strategy for efficient and safe trajectory optimization. For joints 5-7, an analytical orientation control decision module adjusts the end-effector’s attitude. Together, these modules form a pose control decision system that adheres to constraints on joint angular velocity, acceleration, and singularity avoidance. the proposed approach is validated through simulations in both static and dynamic scenarios, with simulation results confirming its effectiveness.
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