4.7 Article

Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Automation & Control Systems

Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach

Insoon Yang

Summary: This article investigates the problem of control policy robustness and proposes a dynamic programming solution based on Wasserstein distribution. The study shows that the contraction property of Bellman operators can extend single-stage performance guarantees to multistage guarantees.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2021)

Article Automation & Control Systems

Obstacle avoidance in dynamic environments based on velocity space optimization

Joaquin Lopez et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2020)

Proceedings Paper Automation & Control Systems

Learning-Based Distributionally Robust Motion Control with Gaussian Processes

Astghik Hakobyan et al.

2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2020)

Proceedings Paper Automation & Control Systems

Wasserstein Distributionally Robust Motion Planning and Control with Safety Constraints Using Conditional Value-at-Risk

Astghik Hakobyan et al.

2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2020)

Article Engineering, Ocean

Automatic collision avoidance of multiple ships based on deep Q-learning

Haiqing Shen et al.

APPLIED OCEAN RESEARCH (2019)

Article Automation & Control Systems

A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms

Sumeet Singh et al.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2019)

Article Automation & Control Systems

Dynamic window based approaches for avoiding obstacles in moving

Eduardo J. Molinos et al.

ROBOTICS AND AUTONOMOUS SYSTEMS (2019)

Article Automation & Control Systems

INFINITE HORIZON AVERAGE COST DYNAMIC PROGRAMMING SUBJECT TO TOTAL VARIATION DISTANCE AMBIGUITY

Ioannis Tzortzis et al.

SIAM JOURNAL ON CONTROL AND OPTIMIZATION (2019)

Article Robotics

Risk-Aware Motion Planning and Control Using CVaR-Constrained Optimization

Astghik Hakobyan et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2019)

Proceedings Paper Automation & Control Systems

Safe Reinforcement Learning with Model Uncertainty Estimates

Bjorn Lutjens et al.

2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)

Article Computer Science, Software Engineering

Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations

Peyman Mohajerin Esfahani et al.

MATHEMATICAL PROGRAMMING (2018)

Article Robotics

Cooperative Collision Avoidance for Nonholonomic Robots

Javier Alonso-Mora et al.

IEEE TRANSACTIONS ON ROBOTICS (2018)

Article Operations Research & Management Science

Data-driven risk-averse stochastic optimization with Wasserstein metric

Chaoyue Zhao et al.

OPERATIONS RESEARCH LETTERS (2018)

Article Engineering, Electrical & Electronic

Combined Speed and Steering Control in High-Speed Autonomous Ground Vehicles for Obstacle Avoidance Using Model Predictive Control

Jiechao Liu et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)

Article Automation & Control Systems

A Convex Optimization Approach to Distributionally Robust Markov Decision Processes With Wasserstein Distance

Insoon Yang

IEEE CONTROL SYSTEMS LETTERS (2017)

Article Mathematics, Applied

SEMIDEFINITE PROGRAMMING FOR CHANCE CONSTRAINED OPTIMIZATION OVER SEMIALGEBRAIC SETS

A. M. Jasour et al.

SIAM JOURNAL ON OPTIMIZATION (2015)

Article Statistics & Probability

On the rate of convergence in Wasserstein distance of the empirical measure

Nicolas Fournier et al.

PROBABILITY THEORY AND RELATED FIELDS (2015)

Article Management

Distributionally Robust Convex Optimization

Wolfram Wiesemann et al.

OPERATIONS RESEARCH (2014)

Article Management

Robust Solutions of Optimization Problems Affected by Uncertain Probabilities

Aharon Ben-Tal et al.

MANAGEMENT SCIENCE (2013)

Article Robotics

Fuzzy Logic Navigation and Obstacle Avoidance by a Mobile Robot in an Unknown Dynamic Environment

Mohammed Faisal et al.

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS (2013)

Article Robotics

Robot Motion Planning in Dynamic, Uncertain Environments

Noel E. Du Toit et al.

IEEE TRANSACTIONS ON ROBOTICS (2012)

Article Operations Research & Management Science

Distributionally Robust Markov Decision Processes

Huan Xu et al.

MATHEMATICS OF OPERATIONS RESEARCH (2012)

Article Robotics

Chance-Constrained Optimal Path Planning With Obstacles

Lars Blackmore et al.

IEEE TRANSACTIONS ON ROBOTICS (2011)

Article Robotics

Sampling-based algorithms for optimal motion planning

Sertac Karaman et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2011)

Article Operations Research & Management Science

On distributionally robust chance-constrained linear programs

G. C. Calafiore et al.

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS (2006)

Article Robotics

Inevitable collision states - a step towards safer robots?

T Fraichard et al.

ADVANCED ROBOTICS (2004)

Article Business, Finance

Conditional value-at-risk for general loss distributions

RT Rockafellar et al.

JOURNAL OF BANKING & FINANCE (2002)

Article Automation & Control Systems

Autonomous vehicle navigation utilizing electrostatic potential fields and fuzzy logic

NC Tsourveloudis et al.

IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION (2001)