Explanipedia

Robot Path Planning in Unknown Environments based on a Learning-guided Optimization Approach Open

Shi Cheng, Zhixin Wang, Jian Yang, Yifei Sun, Mingming Zhang , et al. · 2025

Research on autonomous obstacle avoidance and automatic obstacle avoidance of minimally invasive surgical robots Open

Chaomin Luo · 2024

With the development of modern society, people pay more and more attention to health and safety, especially to the development of medical techniques. The demand for higher medical standards has led to minimally invasive surgery becoming a …

Human autonomy teaming-based safety-aware navigation through bio-inspired and graph-based algorithms Open

Timothy Sellers, Tingjun Lei, Chaomin Luo, Zhuming Bi, Gene Eu Jan · 2024

In the field of autonomous robots, achieving complete precision is challenging, underscoring the need for human intervention, particularly in ensuring safety. Human Autonomy Teaming (HAT) is crucial for promoting safe and efficient human–r…

Developing Computational Intelligence Curriculum Materials to Advance Student Learning for Robot Control and Optimization Open

Tingjun Lei, Timothy Sellers, Chaomin Luo, Zhuming Bi, Gene Eu Jan · 2024

Nature-inspired intelligence, an integral component of computational intelligence curriculum. The integration of nature-inspired intelligence methodologies with robotics has become increasingly prominent in research and education. Among it…

Enhancing Student Learning in Robot Path Planning Optimization through Graph-Based Methods Open

Timothy Sellers, Tingjun Lei, Chaomin Luo, Zhuming Bi, Gene Eu Jan · 2024

Optimizing robot path planning, a key domain within computational intelligence and robotics, is gaining significant prominence today. Graph-based models for robot path planning optimization represent a highly impactful advancement in both …

A Hybrid Pedagogy through Topical Guide Objective to Enhance Student Learning in MIPS Instruction Set Design Open

Timothy Sellers, Tingjun Lei, Chaomin Luo, Gene Eu Jan, Zhuming Bi · 2024

The Computer Architecture curriculum primarily delves into the intricacies of modern microprocessor and computer system architecture design. One of the most challenging aspects of the curriculum is the study of MIPS instruction set design.…

Wasserstein local slow feature analysis and its application to process monitoring Open

Yuanjian Fu, Zhichao Wu, Chaomin Luo, Xu Xue · 2024

Complex industrial processes are commonly characterized by dynamics, which results from compensation of the closed-loop control and complex reflux during process operations. In this work, we propose a novel method termed the Wasserstein lo…

Digital twin‐based multi‐objective autonomous vehicle navigation approach as applied in infrastructure construction Open

Tingjun Lei, Timothy Sellers, Chaomin Luo, Lei Cao, Zhuming Bi · 2024

The widespread adoption of autonomous vehicles has generated considerable interest in their autonomous operation, with path planning emerging as a critical aspect. However, existing road infrastructure confronts challenges due to prolonged…

POVNav: A Pareto-Optimal Mapless Visual Navigator Open

Durgakant Pushp, Zheng Chen, Chaomin Luo, Jason M. Gregory, Lantao Liu · 2023

Mapless navigation has emerged as a promising approach for enabling autonomous robots to navigate in environments where pre-existing maps may be inaccurate, outdated, or unavailable. In this work, we propose an image-based local representa…

Graph-based robot optimal path planning with bio-inspired algorithms Open

Tingjun Lei, Timothy Sellers, Chaomin Luo, Daniel W. Carruth, Zhuming Bi · 2023

Recently, bio-inspired algorithms have been increasingly explored for autonomous robot path planning on grid-based maps. However, these approaches endure performance degradation as problem complexity increases, often resulting in lengthy s…

A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning Open

Tingjun Lei, Pradeep Chintam, Chaomin Luo, Lantao Liu, Gene Eu Jan · 2023

In real-world applications, multiple robots need to be dynamically deployed to their appropriate locations as teams while the distance cost between robots and goals is minimized, which is known to be an NP-hard problem. In this paper, a ne…

A Multidimensional Game Theory–Based Group Decision Model for Predictive Analytics Open

Mirhossein Mousavi Karimi, Shahram Rahimi, Mohammad Nagahisarchoghaei, Chaomin Luo · 2022

An N-dimensional game theory–based model for multi-actor predictive analytics is presented in this article. The proposed model expands our previous work on two-dimensional group decision model for predictive analytics. The one-dimensional …

Deep Learning-Based Complete Coverage Path Planning With Re-Joint and Obstacle Fusion Paradigm Open

Tingjun Lei, Chaomin Luo, Gene Eu Jan, Zhuming Bi · 2022

With the introduction of autonomy into the precision agriculture process, environmental exploration, disaster response, and other fields, one of the global demands is to navigate autonomous vehicles to completely cover entire unknown envir…

A node selection algorithm to graph-based multi-waypoint optimization navigation and mapping Open

Timothy Sellers, Tingjun Lei, Chaomin Luo, Gene Eu Jan, Ma Junfeng · 2022

Autonomous robot multi-waypoint navigation and mapping have been demanded in many real-world applications found in search and rescue (SAR), environmental exploration, and disaster response. Many solutions to this issue have been discovered…

An informative planning-based multi-layer robot navigation system as applied in a poultry barn Open

Tingjun Lei, Guoming Li, Chaomin Luo, Li Zhang, Lantao Liu , et al. · 2022

Many real-world robot applications, as found in precision agriculture, poultry farms, disaster response, and environment monitoring, require search, locate, and removal (SLR) operations by autonomous mobile robots. In such application sett…

A bat-pigeon algorithm to crack detection-enabled autonomous vehicle navigation and mapping Open

Tingjun Lei, Chaomin Luo, Timothy Sellers, Shahram Rahimi · 2021

Generic Design Methodology for Smart Manufacturing Systems from a Practical Perspective. Part II—Systematic Designs of Smart Manufacturing Systems Open

Zhuming Bi, Wenjun Zhang, Chong Wu, Chaomin Luo, Lida Xu · 2021

In a traditional system paradigm, an enterprise reference model provides the guide for practitioners to select manufacturing elements, configure elements into a manufacturing system, and model system options for evaluation and comparison o…

Generic Design Methodology for Smart Manufacturing Systems from a Practical Perspective, Part I—Digital Triad Concept and Its Application as a System Reference Model Open

Zhuming Bi, Wenjun Zhang, Chong Wu, Chaomin Luo, Lida Xu · 2021

Rapidly developed information technologies (IT) have continuously empowered manufacturing systems and accelerated the evolution of manufacturing system paradigms, and smart manufacturing (SM) has become one of the most promising paradigms.…

Biologically Inspired Intelligence with Applications on Robot Navigation Open

Chaomin Luo, Gene En Jan, Zhenzhong Chu, Xinde Li · 2018

Biologically inspired intelligence technique, an important embranchment of series on computational intelligence, plays a crucial role for robotics. The autonomous robot and vehicle industry has had an immense impact on our economy and soci…

Design and Implementation of Project-Based Courses on Cutting-Edge Computer Technologies Open

Wenbing Zhao, Xiong Luo, Chaomin Luo, Yonghong Peng · 2018

In this paper, we describe the design and implementation of two project-based courses, one on Apple iOS application development, and the other on Microsoft Kinect application development, and report the lessons learned in teaching these no…

Multi-Lab-Driven Learning Method Used for Robotics ROS System Development Open

Chaomin Luo, Jiawen Wang, Wenbing Zhao, Lei Wang · 2018

The Robot Operating System (ROS), a collection of tools, libraries, and conventions, is a powerful framework for programming robot software, and ROS-based mobile robot systems are becoming increasingly significant in human life. ROS has th…

Enhancing Communication with Students with a Teaching Method Based on Topical Guide Objectives Open

Wenbing Zhao, Xiongyi Liu, Chaomin Luo, Xiong Luo · 2018

In this paper, we report a case study on employing and adapting a teaching method based on topical guide objectives (TGOs) in a senior-level undergraduate computing engineering course. This method was first introduced by Dr. Mattew Morriso…

Visual navigation method for indoor mobile robot based on extended BoW model Open

Xianghui Li, Xinde Li, Mohammad Omar Khyam, Chaomin Luo, Yingzi Tan · 2017

This article proposes a new navigation method for mobile robots based on an extended bag of words (BoW) model for general object recognition in indoor environments. The scale‐invariant feature transform (SIFT)‐detection algorithm with the …

A Variable Interval Rescheduling Strategy for Dynamic Flexible Job Shop Scheduling Problem by Improved Genetic Algorithm Open

Lei Wang, Chaomin Luo, Jingcao Cai · 2017

In real-world manufacturing systems, production scheduling systems are often implemented under random or dynamic events like machine failure, unexpected processing times, stochastic arrival of the urgent orders, cancellation of the orders,…

Scientific Programming towards a Smart World Open

Wenbing Zhao, Xiong Luo, Huaping Liu, Kun Hua, Chaomin Luo · 2017

An Improved Ant Colony Optimization for Flexible Job Shop Scheduling Problem Open

Lei Wang, Jingcao Cai, Liu Zhi-hu, Chaomin Luo · 2017

This paper deals with the flexible job shop scheduling problem (FJSP) with the objective of minimizing the makespan.An improved ant colony optimization was proposed to avoid falling into the local optimum and time consuming exist in the ba…

High-throughput state-machine replication using software transactional memory Open

Wenbing Zhao, William Yang, Honglei Zhang, Jack Yang, Xiong Luo , et al. · 2016

Theory and Applications of Bioinspired Neural Intelligence for Robotics and Control Open

Simon X. Yang, Chaomin Luo, Howard Li, Jianjun Ni, Jianwei Zhang · 2016

Computational intelligence approaches are nature-inspired methods, which offer a wealth of ideas for solutions to complex problems. In comparison to the traditional approaches, the computational intelligence approaches are more powerful so…

Enhancing the Quality of Student Research by an On-going Multiple-Project-Based Course Open

Chaomin Luo · 2015

Enhancing the Quality of Student Research by an On-going Multiple-Project-Based Course Chaomin Luo Department of Electrical and Computer Engineering University of Detroit Mercy, MI 48221-3038, USAAbstract Project-based learning has been re…

Hands-on Active Learning via Development of FPGA-based Intelligent Microwave Oven Controller Open

Chaomin Luo · 2015

Hands-On Active Learning via Development of FPGA-based Intelligent Microwave Oven Controller Chaomin Luo Department of Electrical and Computer Engineering University of Detroit Mercy MI 48221-3038, USAAbstractLaboratory development is an e…

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