Uncertain Environment

Uncertain environments pose significant challenges for autonomous systems, demanding robust decision-making and planning capabilities. Current research focuses on developing algorithms that handle uncertainty in various forms, including stochastic models (e.g., POMDPs, Markov games), robust optimization techniques (e.g., distributionally robust optimization), and adaptive methods that learn and adjust to changing conditions. These advancements are crucial for improving the reliability and safety of autonomous systems in diverse applications, such as traffic control, robotics, and AI planning, where unpredictable factors are inherent. The ultimate goal is to create systems that not only perform well under uncertainty but also provide guarantees of safety and performance.

Papers

January 30, 2023

Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning
James Queeney, Mouhacine Benosman
Deep Reinforcement Learning Safe Reinforcement Learning Robustness Guarantee Uncertain Environment

December 13, 2022

Trajectory Adaptive Prediction for Moving Objects in Uncertain Environment
Hu Jin
Trajectory Prediction Expectation Maximization Uncertain Environment Moving Object Variational Mixture

October 15, 2022

On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction
Huanjie Wang, Haibin Liu, Wenshuo Wang, Lijun Sun
Best View Uncertain Environment Perceptual Uncertainty Interactive Driving Decision Making Process

October 5, 2022

Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability
Laura Lützow, Yue Meng, Andres Chavez Armijos, Chuchu Fan
Robotics Domain Motion Planning Collision Avoidance Reachability Analysis Dynamic Obstacle Uncertain Environment

September 30, 2022

Safety-Critical Adaptation in Self-Adaptive Systems
Simon Diemert, Jens H. Weber
Uncertain Environment Self Adaptive System

August 5, 2022

Planning under periodic observations: bounds and bounding-based solutions
Federico Rossi, Dylan Shell
Non Humanoid Robot Markov Decision Process Action Space Autonomous Navigation General Bound Uncertain Environment New Bounding

June 17, 2022

An imminent collision monitoring system with safe stopping interventions for autonomous aerial flights
Jasmine Cheng, Xuning Yang, Nathan Michael
Collision Avoidance Safe Trajectory Collision Scenario Uncertain Environment Autonomous Aerial Soft Intervention

May 12, 2022

Reactive Informative Planning for Mobile Manipulation Tasks under Sensing and Environmental Uncertainty
Mariliza Tzes, Vasileios Vasilopoulos, Yiannis Kantaros, George J. Pappas
Human Sensing Mobile Manipulation Unknown Object Uncertain Environment Hybrid Control

March 9, 2022

Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics
Philipp Stegmaier, Karl Kurzer, J. Marius Zöllner
Monte Carlo Tree Search Observable Markov Decision Process Safe Trajectory Uncertain Environment Risk Metric Cooperative Trajectory Planning

March 6, 2022

Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments
Weiqiao Han, Ashkan Jasour, Brian Williams
Safe Trajectory Trajectory Optimization Problem Uncertain Environment Stochastic Constraint Stochastic Nonlinear System Uncertain Obstacle

March 4, 2022

Optimal Keywords Grouping in Sponsored Search Advertising under Uncertain Environments
Huiran Li, Yanwu Yang
Uncertain Environment Sponsored Search Keyword Optimization

Uncertain Environment

Papers

Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning

Trajectory Adaptive Prediction for Moving Objects in Uncertain Environment

On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction

Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability

Safety-Critical Adaptation in Self-Adaptive Systems

Planning under periodic observations: bounds and bounding-based solutions

An imminent collision monitoring system with safe stopping interventions for autonomous aerial flights

Reactive Informative Planning for Mobile Manipulation Tasks under Sensing and Environmental Uncertainty

Cooperative Trajectory Planning in Uncertain Environments with Monte Carlo Tree Search and Risk Metrics

Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments

Optimal Keywords Grouping in Sponsored Search Advertising under Uncertain Environments