Integrated perception and planning in the continuous space: A POMDP approach

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Int. J. Robotics Res.

• Publication date

  2013-06-23

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1177/0278364914528255
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• What Is This?

  2020cited by this paper
• Reinforcement learning

  2019cited by this paper
• Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation

  2013cited by this paper
• Planning how to learn

  2013influential reference
• GPU-based motion planning under uncertainties using POMDP

  2013cited by this paper
• Monte Carlo Bayesian Reinforcement Learning

  2012cited by this paper
• Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs

  2011influential reference
• Monte Carlo Value Iteration for Continuous-State POMDPs

  2010influential reference
• LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information

  2010cited by this paper
• Belief space planning assuming maximum likelihood observations

  2010cited by this paper
• Randomized Belief-Space Replanning in Partially-Observable Continuous Spaces

  2010cited by this paper
• Approximate dynamic programming: solving the curses of dimensionality

  2009cited by this paper
• Hyper-particle filtering for stochastic systems

  2008cited by this paper
• Online Planning Algorithms for POMDPs

  2008cited by this paper
• SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces

  2008influential reference
• Advances in Neural Information Processing Systems (NIPS)

  2007influential reference
• Approximate Dynamic Programming

  2007cited by this paper
• Grasping POMDPs

  2007cited by this paper
• The Belief Roadmap: Efficient Planning in Linear POMDPs by Factoring the Covariance

  2007cited by this paper
• Parametric POMDPs for planning in continuous state spaces

  2006influential reference
• Point-Based Value Iteration for Continuous POMDPs

  2006influential reference
• Principles of Robot Motion: Theory, Algorithms, and Implementations [Book Review]

  2005cited by this paper
• Solving POMDPs with Continuous or Large Discrete Observation Spaces

  2005cited by this paper
• Point-Based POMDP Algorithms: Improved Analysis and Implementation

  2005influential reference
• Reinforcement Learning as Classification: Leveraging Modern Classifiers

  2003cited by this paper
• Bounded Finite State Controllers

  2003cited by this paper
• Policy Search by Dynamic Programming

  2003cited by this paper
• Point-based value iteration: an anytime algorithm for POMDPs

  2003influential reference
• Probabilistic robotics

  2002influential reference
• Optimal learning: computational procedures for bayes-adaptive markov decision processes

  2002influential reference
• Coastal Navigation with Mobile Robots

  1999cited by this paper
• Learning Finite-State Controllers for Partially Observable Environments

  1999cited by this paper
• Monte Carlo POMDPs

  1999cited by this paper
• Introduction to Reinforcement Learning

  1998cited by this paper
• Reinforcement learning

  1998cited by this paper
• Solving POMDPs by Searching in Policy Space

  1998cited by this paper
• Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications

  1992influential reference
• Journalof Artificial Intelligence Research 40(2011)523-570 Submitted 9/10;published2/11 EfficientPlanning underUncertaintywith Macro-actions

  year unknowncited by this paper

• Reactive Motion Generation With Particle-Based Perception in Dynamic Environments

  2026cites this paper
• Mission-Driven UAV Path Selection: Post Hoc Cost Evaluation of Deterministic and Sampling Approaches

  2026cites this paper
• Stochastic Hierarchical Game (SHG) for Multi‐Agent Autonomous Driving With Uncertain Driver Intentions

  2025cites this paper
• Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control

  2025cites this paper
• Assistive Decision-Making for Right of Way Navigation at Uncontrolled Intersections

  2025influential citation
• Local Observation Based Reactive Temporal Logic Planning of Human-Robot Systems

  2025cites this paper
• Integrated Control and Active Perception in POMDPs for Temporal Logic Tasks and Information Acquisition

  2025cites this paper
• Temporal Logic Task Planning for Autonomous Systems With Active Acquisition of Information

  2024cites this paper
• Mori-zwanzig approach for belief abstraction with application to belief space planning

  2024cites this paper
• Towards Cost Sensitive Decision Making

  2024cites this paper
• Probabilistic Active Loop Closure for Autonomous Exploration

  2024cites this paper
• Dynamic Game Theoretic Electric Vehicle Decision Making

  2024cites this paper
• A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees

  2023cites this paper
• Provable-Correct Partitioning Approach for Continuous-Observation POMDPs With Special Observation Distributions

  2023cites this paper
• Adaptive Discretization using Voronoi Trees for Continuous POMDPs

  2023cites this paper
• Plan commitment: Replanning versus plan repair

  2023cites this paper
• Uncertainties in Onboard Algorithms for Autonomous Vehicles: Challenges, Mitigation, and Perspectives

  2023cites this paper
• Point-Based Value Iteration for VAR-POMDPs

  2022cites this paper
• Optimality Guarantees for Particle Belief Approximation of POMDPs

  2022cites this paper
• Efficient POMDP Behavior Planning for Autonomous Driving in Dense Urban Environments using Multi-Step Occupancy Grid Maps

  2022cites this paper
• Partially Observable Markov Decision Processes in Robotics: A Survey

  2022cites this paper
• Adaptive Discretization using Voronoi Trees for Continuous-Action POMDPs

  2022cites this paper
• High-efficiency online planning using composite bounds search under partial observation

  2022cites this paper
• A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers

  2022cites this paper
• Intention Prediction and Mixed Strategy Nash Equilibrium-Based Decision-Making Framework for Autonomous Driving in Uncontrolled Intersection

  2022cites this paper
• Joint Learning of Reward Machines and Policies in Environments with Partially Known Semantics

  2022cites this paper
• Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks

  2022cites this paper
• Task-Guided IRL in POMDPs that Scales

  2022cites this paper
• Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving

  2021cites this paper
• Probabilistic Loss and its Online Characterization for Simplified Decision Making Under Uncertainty

  2021cites this paper
• Collaborative human-autonomy semantic sensing through structured POMDP planning

  2021cites this paper
• Robust Reinforcement Learning on State Observations with Learned Optimal Adversary

  2021cites this paper
• Partially Observable Markov Decision Processes (POMDPs) and Robotics

  2021cites this paper
• Task-Guided Inverse Reinforcement Learning Under Partial Information

  2021cites this paper
• Online Partial Conditional Plan Synthesis for POMDPs With Safe-Reachability Objectives: Methods and Experiments

  2021cites this paper
• Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes

  2021cites this paper
• Active Perception and Control from PrSTL Specifications

  2021cites this paper
• Ethical decision making for autonomous vehicles

  2020cites this paper
• Hybrid conditional planning for robotic applications

  2020cites this paper
• Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics

  2020cites this paper
• RPRS: a reactive plan repair strategy for rapid response to plan failures of deep space missions

  2020cites this paper
• Autonomous Vehicles’ Turning Motion Planning for Conflict Areas at Mixed-Flow Intersections

  2020cites this paper
• Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching

  2020cites this paper
• Monte-Carlo Policy Synthesis in POMDPs with Quantitative and Qualitative Objectives

  2019cites this paper
• Air-to-Ground Surveillance Using Predictive Pursuit

  2019cites this paper
• Navigation and guidance strategy online planning and execution for autonomous UAV

  2019cites this paper
• REBA: A Refinement-Based Architecture for Knowledge Representation and Reasoning in Robotics

  2019cites this paper
• Active Perception and Control From Temporal Logic Specifications

  2019cites this paper
• Research Advances and Challenges of Autonomous and Connected Ground Vehicles

  2019cites this paper
• Sparse tree search optimality guarantees in POMDPs with continuous observation spaces

  2019cites this paper
• Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

  2019cites this paper
• Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process

  2019cites this paper
• Tactical decision-making for autonomous driving: A reinforcement learning approach

  2019cites this paper
• Active object tracking using context estimation: handling occlusions and detecting missing targets

  2019cites this paper
• Stochastic Dynamic Games in Belief Space

  2019cites this paper
• Interactive Trajectory Prediction for Autonomous Driving via Recurrent Meta Induction Neural Network

  2019cites this paper
• Masters Thesis: POMDP based online parameter estimation for autonomous passenger vehicles

  2019cites this paper
• Multilevel Monte Carlo for solving POMDPs on-line

  2019cites this paper
• Active sensing for motion planning in uncertain environments via mutual information policies

  2019cites this paper
• Handbook of Dynamic Data Driven Applications Systems

  2018cites this paper
• Utility Decomposition with Deep Corrections for Scalable Planning under Uncertainty

  2018cites this paper
• Automated Driving in Uncertain Environments: Planning With Interaction and Uncertain Maneuver Prediction

  2018cites this paper
• Mobile manipulator planning under uncertainty in unknown environments

  2018cites this paper
• An On-Line Planner for POMDPs with Large Discrete Action Space: A Quantile-Based Approach

  2018cites this paper
• Baidu Apollo EM Motion Planner

  2018cites this paper
• Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes

  2018cites this paper
• Smooth Behavioral Estimation For Ramp Merging Control In Autonomous Driving

  2018cites this paper
• Aided Optimal Search: Data-Driven Target Pursuit from On-Demand Delayed Binary Observations

  2018cites this paper
• MPDM: Multi-policy Decision-Making from Autonomous Driving to Social Robot Navigation

  2018cites this paper
• Continuous Behavioral Prediction in Lane-Change for Autonomous Driving Cars in Dynamic Environments

  2018cites this paper
• Decentralized teaching and learning in cooperative multiagent systems

  2018cites this paper
• Decomposition methods with deep corrections for reinforcement learning

  2018cites this paper
• Learning Reward Functions for Optimal Highway Merging

  2018cites this paper
• Optimal Continuous State POMDP Planning With Semantic Observations: A Variational Approach

  2018cites this paper
• Online Partial Conditional Plan Synthesis for POMDPs with Safe-Reachability Objectives

  2018cites this paper
• Perception, Planning, Control, and Coordination for Autonomous Vehicles

  2017cites this paper
• Decision making for autonomous driving considering interaction and uncertain prediction of surrounding vehicles

  2017cites this paper
• Hybrid control trajectory optimization under uncertainty

  2017cites this paper
• Belief state planning for autonomously navigating urban intersections

  2017cites this paper
• Speed Complexity Pedestrian Driving Highway Lane-Keeping Parking Traffic Jam Urban Driving Racing Circuit

  2017cites this paper
• Searching and tracking of humans in urban environments with humanoid robots

  2017cites this paper
• Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces

  2017cites this paper
• POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty

  2017cites this paper
• An Analysis of Policies from Stochastic Linear Quadratic Gaussian in Robotics Problems with State- and Control-Dependent Noise

  2017cites this paper
• Robotic Motion Planning in Uncertain Environments via Active Sensing

  2017cites this paper
• DFA based autonomous decision-making for UGV in unstructured terrain

  2017cites this paper
• Deep Coverage: Motion Synthesis in the Data-Driven Era

  2017cites this paper
• Action for perception: active object recognition and pose estimation in cluttered environments

  2017cites this paper
• POMDPs for Continuous States and Observations for Robotics

  2017cites this paper
• Lane-change social behavior generator for autonomous driving car by non-parametric regression in Reproducing Kernel Hilbert Space

  2017cites this paper
• Scalable accelerated decentralized multi-robot policy search in continuous observation spaces

  2017cites this paper
• POMCPOW: An online algorithm for POMDPs with continuous state, action, and observation spaces

  2017cites this paper
• Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks

  2017cites this paper
• Using Knowledge Representation and Reasoning Tools in the Design of Robots

  2016cites this paper
• Can I Do That? Discovering Domain Axioms Using Declarative Programming and Relational Reinforcement Learning

  2016cites this paper
• Towards An Architecture for Representation, Reasoning and Learning in Human-Robot Collaboration

  2016cites this paper
• Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs

  2016cites this paper
• Should I do that? using relational reinforcement learning and declarative programming to discover domain axioms

  2016cites this paper
• Improved action and path synthesis using Gradient Sampling

  2016cites this paper
• KR 3 L : An Architecture for Knowledge Representation , Reasoning and Learning in Human-Robot Collaboration

  2016cites this paper