Article
Engineering, Geological
Armin Tabandeh, Neetesh Sharma, Paolo Gardoni
Summary: Industrial facilities are vulnerable to earthquake disruptions, which can result in structural damage or loss of functionality. Quantifying the resilience of networked industrial facilities and their dependencies on infrastructure systems is important for decision-making regarding seismic performance improvement. This paper proposes a formulation to model the functionality of interacting industrial facilities using coupled differential equations, considering uncertainties in earthquake measures, damage, and recovery processes. It also discusses the recovery of damaged facilities under resource constraints and incorporates changes in structural properties and network connectivity to quantify resilience.
BULLETIN OF EARTHQUAKE ENGINEERING
(2023)
Article
Automation & Control Systems
Gang Chen, Peng Peng, Peihan Zhang, Wei Dong
Summary: This research utilizes a dual-structure particle-based dynamic occupancy map to represent arbitrarily-shaped static and dynamic obstacles simultaneously, and proposes an efficient risk-aware sampling-based local trajectory planner for safe flights.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Geosciences, Multidisciplinary
Hojat Rezaei Soufi, Akbar Esfahanipour, Mohsen Akbarpour Shirazi
Summary: This study introduces a new risk management approach based on traditional risk management and resilience management. By developing a new risk synergy measure and utilizing risk impact and likelihood, a new method for risk assessment is presented.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Qi Zhang, Edmund H. Durfee, Satinder Singh
Summary: Probabilistic commitments provide a computational framework for multi-agent coordination, where an autonomous agent commits to a future action that probabilistically influences another agent's local state. This article analyzes the risk of suboptimality in abstractly specified commitments and explores the bounds on suboptimality risk for different types of commitments. The study suggests that adding selective details to probabilistic maintenance commitments can be beneficial.
ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Civil
Ting Wu, Zhiyong Li, Guibin Wang, Xian Zhang, Jing Qiu
Summary: This study proposes a multistage low-carbon EV charging facility planning model that can improve range anxiety and facilitate long-distance travel for electric vehicles. The model considers the construction costs and adverse impacts of new charging facilities, as well as the carbon emissions and penalty associated with inconvenience for EV recharging. Additionally, a rational travel route choice model is developed to accurately evaluate the service capability of the planned charging facilities.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Management
Carlos A. Delgado-Alvarez, Ann van Ackere, Erik R. Larsen
Summary: This study utilizes a one-dimensional cellular automata model to investigate the impact of customer risk aversion on collective behavior and average system sojourn time in a self-organized queueing system. The results indicate that higher levels of customer risk aversion lead to longer convergence time and increased average sojourn time.
INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Information Systems
Jun Gao, Jie Wang
Summary: This study focuses on optimizing routes for dry bulk shipping fleets using robust optimization approach to minimize total transportation costs while ensuring navigation risks remain under a certain threshold. The results show that this approach effectively balances navigation risks and transportation costs.
Article
Environmental Studies
Nur Zainul Arifin Norizan, Norhaslina Hassan, Mariney Mohd Yusoff
Summary: The study found that although all studied plans have integrated most measures to avoid risk and reduce vulnerability, measures on disaster preparedness were inadequate. Therefore, there is a need to further strengthen disaster resilience measures in local development plans to ingrain preparedness and adaptation with more inclusive participatory civil societies and stakeholders.
Article
Computer Science, Artificial Intelligence
Andrey Zhitnikov, Vadim Indelman
Summary: This paper proposes a simplification framework to address the increased complexity of decision-making algorithms, with a focus on risk-aware objectives. The framework includes novel stochastic bounds on the return and considers the correlation between returns. The paper also presents a risk averse objective and a tool called the probabilistic loss (PLoss) to characterize the simplification impact. Extensive simulations demonstrate the advantages of the approach.
ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Multidisciplinary
Michael Todinov
Summary: The paper presents an important method using algebraic inequalities to reduce uncertainty and risk, and enhance systems performance. By creating relevant meaning for variables and parts of the inequalities, new knowledge can be used to optimize systems and processes in diverse areas of science and technology.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2022)
Article
Robotics
David D. Fan, Ali-akbar Agha-mohammadi, Evangelos A. Theodorou
Summary: One of the main challenges in autonomous robotic exploration and navigation is determining safe paths in unknown and unstructured environments. This study introduces a learning approach using a neural network to robustly calculate the distribution of traversability costs, focusing on learning tail risks. The method shows improved accuracy, robustness, and computational efficiency compared to baselines, and is validated in challenging environments.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Review
Automation & Control Systems
Hanna Kurniawati
Summary: This article reviews POMDPs and emphasizes the computational issues affecting their practicality in robotics. The development of sampling-based approximate solvers has made POMDPs more practical in robotics, allowing for improved robustness of robotics systems within reasonable computational resources.
ANNUAL REVIEW OF CONTROL ROBOTICS AND AUTONOMOUS SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Reza Bayani, Saeed D. Manshadi
Summary: This paper explores the optimal long-term resilient expansion planning strategies in areas prone to wildfires, balancing the risk of wildfire ignition and energy supply. A two-stage robust optimization problem is proposed to maximize power supply while limiting wildfire risk. The results suggest that appropriate transmission switching and installation of distributed energy resources can effectively meet demand and mitigate wildfire risk.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Robotics
Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
Summary: The Hybrid Parallel DESPOT (HyP-DESPOT) algorithm leverages both CPU and GPU parallelization to achieve real-time online planning performance for robots in uncertain, dynamic environments. It combines parallel DESPOT tree search on multi-core CPUs with parallel Monte Carlo simulations on GPUs to speed up online planning by several hundred times in challenging robotic tasks.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
(2021)
Article
Engineering, Industrial
Qing Li, Mingchu Li, Yuan Tian, Jianyuan Gan
Summary: This paper presents a tri-level stochastic game-theoretic model that considers risk-averse strategies between a defender and an attacker in supply networks. The model incorporates uncertainty in facility capacity and attack effect, using Conditional-Value-at-Risk (CVaR) to control the risk associated with extreme scenarios. The goal of the model is to minimize the CVaR cost of the defender and locate facilities with capacity backups at different levels for recovery against worst-case attacks.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)