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检索条件"任意字段=Proceedings of the 2019 2nd International Conference on Control and Robot Technology"

共 3960 条记录，以下是11-20 订阅

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2nd international conference on the Frontiers of robotics and Software Engineering, FRSE 2024

2nd International Conference on the Frontiers of Robotics an...

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2nd international conference on the Frontiers of robotics and Software Engineering, FRSE 2024

ISBN: (纸本)9789819630127

The proceedings contain 33 papers. The special focus in this conference is on Frontiers of robotics and Software Engineering. The topics include: Gait Optimization of Bioinspired Pole-Climbing robot;an Obstacle Avoidance Path Planning Algorithm for Underwater Multi-jointed robotic Arms;boosting Practicality of Natural Image Matting with Trimap Adaptation;diffusion Adversarial Learning For Underwater Depth Estimation;CRFENet: Cross-Spectral Stereo Matching Network Exploiting Reciprocal Feature Evolution;optimization of Offensive and Defensive Strategies Based on Agent2D Underlying Team Code;A Novel MRI-Compatible Rotary Encoder: Design and Evaluation;progressive Feature Interaction and Enhancement Network for Visible-Infrared Person Re-Identification;a Visual Simulation Platform for Automatic Field-of-View Adjustment Algorithm Optimization of a Tendon-Driven Continuum Laparoscope;purely Visual Loading: Pose-Classification Network for Loading Service robot onto Ego-Vehicle;unsupervised Person Re-Identification Based on Pixel-Level Fine-Grained Feature Attention;Application of TD3 Algorithm with Adaptive Parameter Noise Mechanism in Automatic Parking;QED-Former: A Query Enhanced Deformable DETR for Video Instance Lane Detection;analysis of the Climbing and Forward Flight Mechanism of Dragonflies;Coverage Path Planning for Heterogeneous UAVs Based on Water Wave Optimization;Research on Scheduling Algorithms for Multi-UAV Collaborative Search;Research on Adaptive Mobile Mechanism of Wheel-Shoe Complex Deformed Mobile Police EOD robot;Functional Coverage-Driven UVM-Based ARINC429 Verification;reinforcement Learning Based Soccer Kicking for Humanoid robots;robot Path Optimization Method for Nuclear Reactor Decommissioning;Multi-AMR Obstacle Avoidance Algorithm Based on Improved MATD3;The NFTSM Based Platoon Tracking control for a Group of Nonlinear and Underactuated Vehicles on Curved Roads;Application of SE Module Based YOLO v8 Network and Machine Learning in Laser Notch

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Event-Triggered Output Feedback Prescribed Performance Consensus control for High-Order Nonlinear Multiagent Systems 24

Event-Triggered Output Feedback Prescribed Performance Conse...

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2nd international conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Li, Zhijie Liu, Haodong Chen, Zeyuan Wang, Xiaofei Li, Ding Zhao, Chong School of Electrical Engineering Hebei University of Science and Technology Hebei Shijiazhuang China Hebei University of Science and Technology Hebei Shijiazhuang China

ISBN: (纸本)9798400710681

This article studies the event-triggered output feedback prescribed performance consistency control problem for a class of uncertain multi-agent systems under directed topology. Unlike existing works forced on predetermined performance control for multi-agent systems, this paper presents an novel relaxed method which does not require the initial state of system to be within a specific range. Based on the backstepping method, a novel prescribed performance event-based controller is designed to guarantee the transient-steady performance constraints of the systems. The dynamic surface control technique is used to deal with the calculating explosion problem. Finally, we provide a simulation to verify the effectiveness of the proposed method. © 2024 Copyright held by the owner/author(s).

关键词： Backstepping

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2nd international conference on Futuristic Advancements in Materials, Manufacturing, and Thermal Sciences, ICFAMMT 2024

2nd International Conference on Futuristic Advancements in M...

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2nd international conference on Futuristic Advancements in Materials, Manufacturing, and Thermal Sciences, ICFAMMT 2024

ISBN: (纸本)9789819756209

The proceedings contain 32 papers. The special focus in this conference is on Futuristic Advancements in Materials, Manufacturing, and Thermal Sciences,. The topics include: Design and Development of Welding Fixture on Release Welding Machine;advancements in Design of Semi-Active Suspension control System During Pre- and Post-Covid-19—A Review of Research;Design of Flexural Bearings in Experimental Analysis and PID control of a Voice Coil Actuator;design and Optimization of Railway Power Axle System for Structural Safety;design and Analysis of Rotary Slag Skimmer Machine;developing and Implementing Vision-Based Production Lines for Detecting and Removing Defective Components;designing a Piezo-Actuated Four-Bar Motion Amplification Mechanism for Enhanced Compliance;geometrical Aspects of Snow Sinkage for robotic Application;finite Element Analysis of a Cable-Driven robotic Hand Exoskeleton;envisioning the Future of robotics Sensors: Innovations and Prospects;Home Automation System with Multiple control Access Using IoT and RTC Module;dynamic Analysis of Underactuated Soft robotic Gripper for Space Applications;EMG-controlled Upper Arm Exoskeleton Powered by Pneumatic Artificial Muscle;self-Operated Optimized Design of an Automated Seed-Sowing robot;Fault Diagnosis in a Centrifugal Pump Using MODWPT and SVMA;methodology for Wall Thickness Validation with Stress Analysis of ClO2 Generator Piping System;A Comparative Study of Live Load for Bridge Deck with Custom Fighter Aircraft Loading and IRC Standard Loading for Design of Elevated Taxiway;modeling and Simulation of Self-stabilizing Platform for Industrial Application;enhancing the Thermal Performance of a Solar Air Heater by Incorporating Artificial Roughness to the Absorber Plate;topology Optimization of Wind Turbine Structural Components.

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Autonomous Real-Time Human-robot Emotional Interaction Through Facial Recognition 2nd

Autonomous Real-Time Human-Robot Emotional Interaction Throu...

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2nd international conference on Intelligent Manufacturing and robotics, ICIMR 2024

作者： Ma, Wenning Jin, Nanlin Guan, Steven Xi’an Jiaotong-Liverpool University Suzhou215400 China

ISBN: (纸本)9789819639489

This project aims to address the limitations in existing human-robot interaction systems by developing a real-time facial expression recognition and emotion response system using a Raspberry Pi-based humanoid robot. Unlike traditional systems that rely solely on explicit commands, our system enables the robot to autonomously respond to human emotions, demonstrating a level of emotional intelligence. This approach enhances the naturalness and human-like- ness of robot interactions. Our system processes real-time video feeds captured by a camera to identify user expressions, focusing specifically on sadness and happiness. Upon detecting a sad expression, the robot performs a song and dance routine to uplift the user’s mood and ceases the performance once a happy expression is recognized. Experimental results indicate that the system effectively recognizes emotions and improves users’ emotional states, showcasing its potential applications in therapeutic and interactive environments. The integration of deep learning with robotic control offers a novel approach to enhancing human-robot interaction through emotional intelligence. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Anthropomorphic robots

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S-RRT*: An improved real-time robot path planning algorithm using sector offset sampling 24

S-RRT*: An improved real-time robot path planning algorithm ...

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2nd international conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Leng, Hongkang Chen, Yaoyao Xu, Pengyao Chen, Chao Song, Rui Li, Weihua Di, Chong Shandong China Shandong China Shandong Cancer Hospital Institute Shandong First Medical University Shandong Academy of Medical Sciences Shandong China School of Control Science and Engineering Shandong University Shandong China Shandong China

ISBN: (纸本)9798400710681

In order to solve the problem of real-time path planning, the algorithm based on sampling is widely used in this field. The RRT* algorithm, as a variant of the RRT algorithm, provides asymptotic optimality. In view of the real-time path planning problem, most of the previous researches directly start from the perspective of compression environment and changing RRT* rewire strategy, but ignore the influence of RRT* sampling blindness on path planning, resulting in slow algorithm convergence speed and high path redundancy. In order to overcome these problems, S-RRT* is proposed in this paper. S-RRT* is an improvement of RT-RRT*. In order to reduce the inefficiency of tree expansion, S-RRT* adopts the sector space probability weight sampling strategy and bias strategy. In terms of path optimization, the way of connecting new nodes to the tree is improved and a new rewiring algorithm from the root node is proposed to shorten the path length. The simulation results show that our algorithm is effective in most environments and provides a new way to solve the real-time path planning problem. © 2024 Copyright held by the owner/author(s).

关键词： Motion planning

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Creative robotics: Designing Waving-Hand Dancing robots 2nd

Creative Robotics: Designing Waving-Hand Dancing Robots

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2nd international conference on Intelligent Manufacturing and robotics, ICIMR 2024

作者： Li, Kexin Hajjaj, Sami Salama Hussen School of Robotics Xi’an Jiaotong-Liverpool University 111 Taicang Avenue Taicang Jiangsu Suzhou215400 China School of Engineering and Technology Sunway University No. 5 Jalan Universiti Selangor Darul Ehsan Bandar Sunway47500 Malaysia

ISBN: (纸本)9789819639489

This project explores the integration of creative robotics with artistic expression through the development of a dancing robot series, focusing on a robotic arm that performs waving hand movements in sync with different types of music. Utilizing Arduino for hardware control and Python for programming, the project bridges the gap between mechanical precision and creative performance. The methodology includes designing and assembling the robotic arm, selecting appropriate sensors and actuators, and programming responsive dance movements triggered by auditory cues. The Arduino Uno, paired with an LM386 sound sensor, was chosen for its cost-effectiveness and ease of use, while MG90S servo motors enabled smoother, dynamic movements. Challenges included fine-tuning sound detection and optimizing motor control for fluid motion, which were addressed by adjusting sensor sensitivity and refining data processing. The findings demonstrate the successful creation of a robot that performs distinct waving movements based on music genres, showcasing the potential of creative robotics in merging technology with art, and highlighting the effectiveness of Arduino and Python in developing responsive, interactive systems. Future improvements could involve enhancing sound recognition accuracy and expanding the robot’s repertoire of dance moves with more advanced hardware and coding techniques. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： robot programming

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Vision-Based Non-anthropomorphic robot Teleoperation Considering Human Arm Configuration 2nd

Vision-Based Non-anthropomorphic Robot Teleoperation Conside...

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2nd international conference on the Frontiers of robotics and Software Engineering, FRSE 2024

作者： Xiang, Jindong Xiang, Ruiqi Wang, Jiangnan Wang, Baichuan Ye, Yongyin Wang, Xiyu Li, Mengtang School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat-Sen University Shenzhen518107 China Guangdong Provincial Key Laboratory of Fire Science and Technology Guangzhou510006 China

ISBN: (纸本)9789819630127

Teleoperation enables humans to perform tasks in complex and dangerous environments more safely and comfortably. Current vision-based methods for non-anthropomorphic robotic teleoperation focus mainly on tracking and imitating human motion to control the robot’s end-effector. However, in complex environments, these methods that lack direct control over other robotic joint configurations may encounter obstacle avoidance issues. Therefore, we proposed a method for generating human-like joint configurations in vision-based non-anthropomorphic robotic teleoperation. This method captures human motion data using only a monocular RGB camera and translates it into robotic motion. Specifically, a novel inverse kinematics solver is developed to calculate the robot’s human-like joint configuration. Through simulation experiments, the human-likeness of the robot’s posture and the tracking performance of its end-effector were analyzed, validating the effectiveness of the proposed method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Anthropomorphic robots

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Dynamic Music-Responsive robotics: Development of a Mobile Dancing robot for Interactive Performance 2nd

Dynamic Music-Responsive Robotics: Development of a Mobile D...

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2nd international conference on Intelligent Manufacturing and robotics, ICIMR 2024

作者： Xian, Qixin Hajjaj, Sami Salama Hussen School of Robotics Xi’an Jiaotong-Liverpool University 111 Taicang Avenue Jiangsu Province Suzhou Taicang215400 China School of Engineering and Technology Sunway University No. 5 Jalan Universiti Selangor Darul Ehsan Bandar Sunway47500 Malaysia

ISBN: (纸本)9789819639489

This project focuses on the development of a sophisticated mobile dancing robot capable of dynamically responding to musical inputs. The robot is outfitted with 19 servos and an array of sensors and components, enabling it to synchronize its movements precisely with audio signals. At the heart of this system is the Arduino Mega, serving as the central control unit that orchestrates the robot’s operations with precision and reliability. Key components driving this innovation include the PCA9685 module, which efficiently manages multiple servos, and the MAX4466 microphone amplifier, which is crucial for accurate sound level detection. Additionally, the MPU6050 sensor is employed for real-time control of upper limb movements, ensuring that the robot’s gestures are both fluid and responsive. The MSGEQ7 audio spectrum analyzer plays a pivotal role by dividing audio into seven frequency bands, allowing the robot to execute movements that are intricately linked to distinct audio frequencies. The development process involved meticulous selection and assembly of the mechanical structure, coupled with the programming of an advanced control system. Sensor calibration was a critical step, ensuring the robot’s responses to audio inputs were both precise and consistent. Each component was seamlessly integrated, resulting in smooth, coordinated movements that reflect the music’s rhythm, intensity, and frequency. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Spectrum analyzers

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Reinforcement Learning Based Soccer Kicking for Humanoid robots 2nd

Reinforcement Learning Based Soccer Kicking for Humanoid Ro...

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2nd international conference on the Frontiers of robotics and Software Engineering, FRSE 2024

作者： Yan, Bo Zhu, Haier Li, Xiu Li, Xiang Shenzhen Tsinghua International Graduate School Shenzhen China Department of Automation Tsinghua University Beijing China

ISBN: (纸本)9789819630127

The robot soccer game is a classic problem in robot control, which can design and verify new algorithms and migrate to other typical robotic applications. Most commonly applied methods are still rule-based, and their performance may be limited as the number of players increases and the interaction between players becomes more and more intensive. Reinforcement-learning-based methods are gaining attention and have been applied to deal with high-dimensional problems with various constraints, like robot soccer. This paper proposes a RL-based method to train a humanoid robot to learn and kick a soccer ball into a gate from scratch. To enhance performance, this paper designs a novel form of a reward function and generalizes the case to obstacle presence scenes. Simulation studies are performed based on Isaac Gym, and the result shows substantial gains in goal accuracy, efficiency, and speed compared with the baseline. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Reinforcement learning

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Research on Adaptive Mobile Mechanism of Wheel-Shoe Complex Deformed Mobile Police EOD robot 2nd

Research on Adaptive Mobile Mechanism of Wheel-Shoe Complex ...

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2nd international conference on the Frontiers of robotics and Software Engineering, FRSE 2024

作者： Wang, Chaoqing Du, Xin Li, Zhiqing China People’s Police University Langfang China Beijing University of Chemical Technology Beijing China

ISBN: (纸本)9789819630127

In view of the complexity of the ground in the operating environment of police explosive ordnance disposal robots, a wheel-track deformed mobile robot (NEZA-I) with adaptive ability to non-structural environment was proposed and developed in combination with the motion advantages of wheeled and caterpillar mobile mechanisms. The NEZA-I consists of a control housing unit and two identical Transformable wheel-track (TWT) mobility modules. Each TWT module, under the action of a driving force, can move on the complex road in two motion modes: wheel and track, and can also change the motion mode (i.e. wheel-track interchange) and adjust the motion attitude (i.e. change the track geometry) according to the change of the ground binding force. The design method of mobile mechanism platform can not only improve the efficiency of driving motor, but also simplify the control of robot. The experiments show that NEZA-I can pass through the complex road environment with reasonable motion mode and attitude by adjusting its own mechanism, and has good environmental adaptability and obstacle crossing performance, which verifies the rationality of the design of the mobile mechanism system. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wheels

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