Search Results - "Sunberg, Zachary N"
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1
Estimation and control using sampling‐based Bayesian reinforcement learning
Published in IET cyber-physical systems (01-03-2020)“…Real‐world autonomous systems operate under uncertainty about both their pose and dynamics. Autonomous control systems must simultaneously perform estimation…”
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End-to-End Probabilistic Depth Perception and 3D Obstacle Avoidance using POMDP
Published in Journal of intelligent & robotic systems (01-10-2021)“…In most real world applications, noisy and incomplete information about the robot proximity is inevitable due to imperfections coupled with the onboard…”
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3
Sampling-Based Reactive Synthesis for Nondeterministic Hybrid Systems
Published in IEEE robotics and automation letters (01-02-2024)“…This letter introduces a sampling-based strategy synthesis algorithm for nondeterministic hybrid systems with complex continuous dynamics under temporal and…”
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4
Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming
Published in 2016 IEEE International Conference on Robotics and Automation (ICRA) (01-05-2016)“…Safely integrating unmanned aerial vehicles into civil airspace is contingent upon development of a trustworthy collision avoidance system. This paper proposes…”
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Conference Proceeding -
5
Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs
Published in 2021 60th IEEE Conference on Decision and Control (CDC) (14-12-2021)“…This paper introduces Voronoi Progressive Widening (VPW), a generalization of Voronoi optimistic optimization (VOO) and action progressive widening to…”
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Conference Proceeding -
6
Gaussian Belief Trees for Chance Constrained Asymptotically Optimal Motion Planning
Published in 2022 International Conference on Robotics and Automation (ICRA) (23-05-2022)“…In this paper, we address the problem of sampling-based motion planning under motion and measurement un-certainty with probabilistic guarantees. We generalize…”
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Conference Proceeding -
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Planning with SiMBA: Motion Planning under Uncertainty for Temporal Goals using Simplified Belief Guides
Published in 2023 IEEE International Conference on Robotics and Automation (ICRA) (29-05-2023)“…This paper presents a new multi-layered algorithm for motion planning under motion and sensing uncertainties for Linear Temporal Logic specifications. We…”
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Conference Proceeding -
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APF-PF: Probabilistic Depth Perception for 3D Reactive Obstacle Avoidance
Published in 2021 American Control Conference (ACC) (25-05-2021)“…This paper proposes a framework for 3D obstacle avoidance in the presence of partial observability of environment obstacles. The method focuses on the utility…”
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Conference Proceeding -
9
Automaton-Guided Control Synthesis for Signal Temporal Logic Specifications
Published in 2022 IEEE 61st Conference on Decision and Control (CDC) (06-12-2022)“…This paper presents an algorithmic framework for control synthesis for continuous dynamical systems subject to signal temporal logic (STL) specifications. We…”
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Conference Proceeding -
10
Explanation Through Reward Model Reconciliation using POMDP Tree Search
Published in 2023 IEEE International Conference on Assured Autonomy (ICAA) (01-06-2023)“…As artificial intelligence (AI) algorithms are increasingly used in mission-critical applications, promoting user-trust of these systems will be essential to…”
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Conference Proceeding -
11
Optimality Guarantees for Particle Belief Approximation of POMDPs
Published in The Journal of artificial intelligence research (01-01-2023)“…Partially observable Markov decision processes (POMDPs) provide a flexible representation for real-world decision and control problems. However, POMDPs are…”
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The value of inferring the internal state of traffic participants for autonomous freeway driving
Published in 2017 American Control Conference (ACC) (01-05-2017)“…Safe interaction with human drivers is one of the primary challenges for autonomous vehicles. In order to plan driving maneuvers effectively, the vehicle's…”
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Conference Proceeding -
13
Resolving Multiple-Dynamic Model Uncertainty in Hypothesis-Driven Belief-MDPs
Published 21-11-2024“…When human operators of cyber-physical systems encounter surprising behavior, they often consider multiple hypotheses that might explain it. In some cases,…”
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14
Sparse tree search optimality guarantees in POMDPs with continuous observation spaces
Published 05-06-2023“…Partially observable Markov decision processes (POMDPs) with continuous state and observation spaces have powerful flexibility for representing real-world…”
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Journal Article -
15
iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia
Published 24-02-2020“…In many problems that involve multiple decision making agents, optimal choices for each agent depend on the choices of others. Differential game theory…”
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16
Rao-Blackwellized POMDP Planning
Published 24-09-2024“…Partially Observable Markov Decision Processes (POMDPs) provide a structured framework for decision-making under uncertainty, but their application requires…”
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17
Planning with SiMBA: Motion Planning under Uncertainty for Temporal Goals using Simplified Belief Guides
Published 18-10-2022“…This paper presents a new multi-layered algorithm for motion planning under motion and sensing uncertainties for Linear Temporal Logic specifications. We…”
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Journal Article -
18
Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives
Published 04-06-2024“…Partially Observable Markov Decision Processes (POMDPs) are powerful models for sequential decision making under transition and observation uncertainties. This…”
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19
Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning
Published 29-02-2024“…Quality colormaps can help communicate important data patterns. However, finding an aesthetically pleasing colormap that looks "just right" for a given…”
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Journal Article -
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Sampling-based Reactive Synthesis for Nondeterministic Hybrid Systems
Published 23-12-2023“…IEEE Robotics and Automation Letters, vol. 9, no. 2, pp. 931-938, 2024 This paper introduces a sampling-based strategy synthesis algorithm for nondeterministic…”
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Journal Article