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检索条件"任意字段=International Conference on Robotics and Automation for Humanitarian Applications"

共 5702 条记录，以下是81-90 订阅

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Smart CRP Using Pega robotics: Enhancing Customer Relationship Platforms with robotics Process automation 4

Smart CRP Using Pega Robotics: Enhancing Customer Relationsh...

引用

4th international conference on Intelligent Cybernetics Technology and applications, ICICyTA 2024

作者： Pandy, Gokul Banarse, Amey Ram Jayaram, Vivekananda Ganeeb, Koushik K Gupta, Pankaj Krishnappa, Manjunatha Sughaturu VA United States CA United States TX United States NC United States Discover Financial Services IL United States

ISBN: (纸本)9798331506490

In today's competitive business landscape, organizations are under pressure to improve operational efficiency and enhance customer satisfaction. This paper introduces SMART CRP, a model that integrates Pega robotics Process automation (RPA) with Customer Relationship Platforms (CRP) to streamline processes and address inefficiencies. SMART CRP leverages Pega robotics to automate repetitive tasks within CRP systems, achieving a 30% reduction in query processing time, a 15% decrease in data entry errors, and a 20% reduction in operational costs. The paper outlines the architecture and deployment strategy of SMART CRP, focusing on key automation areas such as data validation, query resolution, and feedback management. Through a phased implementation approach, including pilot testing and full-scale deployment, the model demonstrates how integrating RPA with CRP systems can significantly improve both operational metrics and customer satisfaction. The paper also addresses the challenges of integrating RPA with legacy CRP systems, proposing solutions such as API development and phased data migration to ensure seamless adoption. The findings underscore the potential of SMART CRP to transform CRP systems, offering insights for organizations looking to enhance efficiency and customer retention through automation. Future research avenues include expanding the model's application across industries and incorporating machine learning for predictive customer engagement. © 2024 IEEE.

关键词： Efficiency

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Mechatronic Design of an Omnidirectional Octorotor UAV 10

Mechatronic Design of an Omnidirectional Octorotor UAV

引用

10th international conference on automation, robotics, and applications, ICARA 2024

作者： Hamandi, Mahmoud Ali, Abdullah Mohamed Evangeliou, Nikolaos Chaikalis, Dimitris Tzes, Anthony Kyriakopoulos, Konstantinos Khorrami, Farshad Center for Artificial Intelligence and Robotics Abu Dhabi129188 United Arab Emirates Electrical Engineering NYUAD Abu Dhabi129188 United Arab Emirates New York University Electrical and Computer Engineering BrooklynNY11201 United States

ISBN: (纸本)9798350394245

The design of an omnidirectional octorotor (OmniOcta) is the scope of this article. The pose of the UAV's thrusters is computed via an optimization algorithm that guarantees the omnidirectionality of the platform. The thrusters' positions are restricted in a semispherical volume with different polar coordinates while their pose is determined in order to avoid the interaction between their propellers' air-funnels. The octorotor is manufactured using 3D printed parts and its employed electronics were selected so as to have the smallest weight. The number of thrusters was then selected as the minimal number that could lift the platform's weight in all rotation directions with the chosen electronic and aerodynamic components. Simulations were conducted to show the capacity of the UAV to lift its weight, while experiments were conducted to identify the allocation matrix of the constructed UAV. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Evaluating importance of AI in robotics and automation in Healthcare for Different age Groups 1

Evaluating importance of AI in Robotics and Automation in He...

引用

1st international conference on Healthcare Innovations, Software and Engineering Technologies, HISET 2024

作者： Abu Eid, Aws Ismail Pethkar, Rajendra Huda, Bintul Patil, Jaykar Bhaskar Gatla, Ranjith Kumar Kumbhar, Ramchandra Arab Open University Faculty of Computing Studies Amman Jordan Jaywant College of Engineering and Polytechnic Department of Mechanical Engineering Karad India Sharda University Department of Computer Science & Technology Srinagar India Jaywant Institute of Management Karad India Institute of Aeronautical Engineering Department of Electrical and Electronics Engineering Hyderabad India Department of Radio-Diagnosis Karad India

ISBN: (纸本)9798350360707

Nowadays robotics is mostly used in the world. There are many industries which used robots for reducing time and to have high precision of work. The use of artificial intelligence is now increasing which helps in automations and processing of machines. Thus, the focus of study is to find the different applications of automation of robotics (i.e. robotic process automation) in the field of healthcare and its impact on the employment of medical field. Four major categories can be used to group AI applications in healthcare: expressive, analytical, prognostic, and prescriptive. The only way to close the skills gap in the healthcare industry is to increase the application of artificial intelligence. Hospitals are developing mental commit robots to treat their patients. Through physical contact, these robots can have an impact on humans' psyche, physiology, and social interactions. Thus, in coming time most of the healthcare industry will be with the robots which will reduces the human interventions with the patients through one of the host servers. © 2024 IEEE.

关键词： Medical robotics

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Self-Tuning Neural Network Controller Based on Fuzzy Logic for Multiple Positions Tracking of a Pneumatic Driven Soft Endoscope Actuator 10

Self-Tuning Neural Network Controller Based on Fuzzy Logic f...

引用

10th international conference on automation, robotics, and applications, ICARA 2024

作者： Acosta, Renzo Tafur, Julio Canahuire, Ruth Pontificia Universidad Catolica del Peru Control and Automation Engineering Master Degree Program Enginnering Department Lima Peru Universidad de Ingenieria y Tecnologia - UTEC Department of Electrical and Mechatronics Engineering Lima Peru

ISBN: (纸本)9798350394245

This paper presents the dynamic modelling and end effector position control of a soft endoscope. Soft endoscope system under study consists mainly of a pneumatic driven soft actuator (PDSA) with four independently chambers. Recurrent neural network (RNN) and dynamic back propagation (DBP) training algorithm are used to obtain PDSA dynamic model. PDSA position controller is based on a feedforward neural network (FNN) and it is trained using PDSA closed loop system (CLS) and DBP training algorithm. CLS stability analysis concludes that it is not possible control PDSA end effector position using one position controller for different end effector initial and desired positions. Fuzzy logic methodology is used to integrate several positions controllers in a one controller valid for all operation range. The controller implementation and close loop system simulation are performed in MATLAB for different end effector desired position to validate system performance in all range of operation. © 2024 IEEE.

关键词： Pneumatics

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Aggressive Regulators for a Class of Uncertain Nonlinear Systems 8

Aggressive Regulators for a Class of Uncertain Nonlinear Sys...

引用

8th international conference on automation, robotics and applications (ICARA)

作者： Dritsas, Leonidas ASPETE Elect & Elect Engn Educators Dept Athens Greece

ISBN: (纸本)9781665483834

This article is concerned with a robust control design for a class of uncertain nonlinear systems with matched disturbances, uncertainties and nonlinearities. The linear part of the composite controller employs LMI-based H-infinity concepts for stabilization, disturbance attenuation and performance with various degrees of control aggressiveness. The nonlinear part is a continuous nonlinear state feedback guaranteeing robust regulation of the closed-loop system. The numerical example of a single input mechatronic system demonstrates the proposed methodology.

关键词： Control automation and Control Systems robotics And Mechatronics

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Intelligent Warehouse automation Using Robotic System 1st

Intelligent Warehouse Automation Using Robotic System

引用

1st international conference on Intelligent Systems and applications

作者： Dixit, Pranav Nargundkar, Aniket Suyal, Pranjal Patil, Rushil Symbiosis Int Symbiosis Inst Technol Pune 412115 Maharashtra India

ISBN: (纸本)9789811965814;9789811965807

In the past couple of decades, the applications of industrial robotics in the industries have seen exponential growth due to the advancements in technologies. The concept of Industry 4.0 is the next generation manufacturing system which is a confluence of smart sensors, electric and electronics technologies, and core manufacturing technologies. Warehouse automation plays a critical role to meet today's demanding goals of supply chains, and warehouse automation technologies are required to be unprecedentedly efficient, adaptive, scalable, and fault-tolerant. This paper presents an application of AI-based smart robotics system for intelligence warehouse automation. In the current work, the territory of the warehouse is explored by the robots. AI-based path planning algorithms, viz. rapidly exploring random trees (RRT), RRT*, A* are applied for the path planning of robots in the warehouse. The results show the potential application of robotics systems in the domain of intelligent automation of warehouses.

关键词： A* algorithm RRT algorithm RRT* algorithm Path planning Warehouse automation

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Design and Autonomous Navigation of 4WD UGV 10

Design and Autonomous Navigation of 4WD UGV

引用

10th international conference on automation, robotics, and applications, ICARA 2024

作者： Tomar, Ajay Chitguppa, Devindra M Prakash, Kondipudi Krupa Karnik, Mohan Automation Solutions PDIC Bharat Electronics Limited Bengaluru India

ISBN: (纸本)9798350394245

This paper delves into the domain of Four Wheel Differential (4WD) Unmanned Ground Vehicles (UGV) and their autonomous navigation. The paper discusses the design and development of a 4WD UGV with sensor integration and navigation. The Paper explores the design considerations for 4WD UGVs and the systems architecture of Autonomous UGVs emphasizing the pivotal role of motor selection, sensors and navigational software in robotic navigation. The UGV uses sensors such as Three Dimension Light Detection and Ranging (3D LIDAR), Depth Camera, Inertial Measurement Unit (IMU) and Ultrasonic Sensors. The UGV motion is achieved by actuating four Brushless Direct Current (BLDC) motors. Navigational aspects such as 2D occupancy grid mapping, global and local path planning, motion planning, particle filter-based localization and recovery behaviors have been implemented using Robot Operating System (ROS). The primary focus is to present a comprehensive framework for the design and implementation of a 4WD UGV, coupled with an autonomous navigation software system. By scrutinizing the integration of hardware and software elements, we aim to contribute valuable insights into the development of versatile 4WD UGVs. © 2024 IEEE.

关键词： Optical radar

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robotics and automation in Engineering: Perspectives for the Digital Economy

Robotics and Automation in Engineering: Perspectives for the...

引用

2024 international conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Ade-Omowaye, Joshua Adediran, Adeolu A Ajisegiri, Emmanuel Afolalu, Sunday A Ojji, Immanuel Landmark University Department of Mechanical Engineering Omu-Aran Nigeria Science University of Johannesburg Department of Mechanical Engineering South Africa Afe Babalola University Department of Mechanical Engineering Ado-Ekiti Nigeria De Montfort University Department of Mechatronics Engineering United Kingdom

ISBN: (纸本)9798350358155

The relentless march of technological progress in the digital era has redefined the landscape of engineering, with robotics and automation emerging as transformative forces at the forefront of this evolution. This study investigates the dynamic interplay between robotics and engineering within the context of the digital economy, exploring the multifaceted dimensions of their integration. Through an exhaustive literature review, comprehensive analysis of state-of-the-art technologies, and examination of real-world applications, this research delves into the economic, social, and ethical implications of this symbiotic relationship. As industries across the globe grapple with the challenges and opportunities presented by automation, this study seeks to provide a holistic understanding of how robotics is reshaping engineering practices and influencing the trajectory of the digital economy. © 2024 IEEE.

关键词： Robots

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Abstract Hardware Grounding Towards the Automated Design of automation Systems 17th

Abstract Hardware Grounding Towards the Automated Design of ...

引用

17th international conference on Intelligent robotics and applications

作者： Shi, Yu-Zhe Xu, Qiao Meng, Fanxu Ruan, Lecheng Wang, Qining Peking Univ Coll Engn Beijing 100871 Peoples R China

ISBN: (纸本)9789819607792;9789819607808

Crafting automation systems tailored for specific domains requires aligning the space of human experts' semantics with the space of robot executable actions, and scheduling the required resources and system layout accordingly. Regrettably, there are three major gaps, fine-grained domain-specific knowledge injection, heterogeneity between human knowledge and robot instructions, and diversity of users' preferences, resulting automation system design a case-by-case and labour-intensive effort, thus hindering the democratization of automation. We refer to this challenging alignment as the abstract hardware grounding problem, where we firstly regard the procedural operations in humans' semantics space as the abstraction of hardware requirements, then we ground such abstractions to instantiated hardware devices, subject to constraints and preferences in the real world-optimizing this problem is essentially standardizing and automating the design of automation systems. On this basis, we develop an automated design framework in a hybrid data-driven and principle-derived fashion. Results on designing self-driving laboratories for enhancing experiment-driven scientific discovery suggest our framework's potential to produce compact systems that fully satisfy domain-specific and user-customized requirements with no redundancy.

关键词： Automated Design Domain-Specific Language Domain Engineering Robot Hardware Abstraction Requirement-based Trade-off

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User-Conditioned Neural Control Policies for Mobile robotics

User-Conditioned Neural Control Policies for Mobile Robotics

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IEEE international conference on robotics and automation (ICRA)

作者： Bauersfeld, Leonard Kaufmann, Elia Scaramuzza, Davide Univ Zurich Dept Informat Robot & Percept Grp Zurich Switzerland Univ Zurich Dept Neuroinformat Zurich Switzerland Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9798350323658

Recently, learning-based controllers have been shown to push mobile robotic systems to their limits and provide the robustness needed for many real-world applications. However, only classical optimization-based control frameworks offer the inherent flexibility to be dynamically adjusted during execution by, for example, setting target speeds or actuator limits. We present a framework to overcome this shortcoming of neural controllers by conditioning them on an auxiliary input. This advance is enabled by including a feature-wise linear modulation layer (FiLM). We use model-free reinforcement-learning to train quadrotor control policies for the task of navigating through a sequence of waypoints in minimum time. By conditioning the policy on the maximum available thrust or the viewing direction relative to the next waypoint, a user can regulate the aggressiveness of the quadrotor's flight during deployment. We demonstrate in simulation and in real-world experiments that a single control policy can achieve close to time-optimal flight performance across the entire performance envelope of the robot, reaching up to 60 km/h and 4.5 g in acceleration. The ability to guide a learned controller during task execution has implications beyond agile quadrotor flight, as conditioning the control policy on human intent helps safely bringing learning based systems out of the well-defined laboratory environment into the wild. Video: https://***/rwT2QQZEH6U

关键词： Controllers

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