Brian C. Williams

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 85

Top Venues

Publications

Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, Brian C. Williams
Risk-Bounded Online Team Interventions via Theory of Mind. ICRA (2024)
Marlyse Reeves, Brian C. Williams
LaPlaSS: Latent Space Planning for Stochastic Systems. CoRR (2024)
Siyu Dai, Wei Xu, Andreas G. Hofmann, Brian C. Williams
An empowerment-based solution to robotic manipulation tasks with sparse rewards. Auton. Robots 47 (5) (2023)
Yuening Zhang, Brian C. Williams
Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans. ICAPS (2023)
Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving. IROS (2023)
Weiqiao Han, Ashkan Jasour, Brian C. Williams
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives. CoRR (2023)
Yuening Zhang, Brian C. Williams
Adaptation and Communication in Human-Robot Teaming to Handle Discrepancies in Agents' Beliefs about Plans. CoRR (2023)
Ashkan Jasour, Weiqiao Han, Brian C. Williams
Convex risk-bounded continuous-time trajectory planning and tube design in uncertain nonconvex environments. Int. J. Robotics Res. 42 (10) (2023)
Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams
Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments. CoRR (2023)
Weiqiao Han, Ashkan Jasour, Brian C. Williams
Non-Gaussian Uncertainty Minimization Based Control of Stochastic Nonlinear Robotic Systems. CoRR (2023)
Ashkan Jasour, Weiqiao Han, Brian C. Williams
Convex Risk Bounded Continuous-Time Trajectory Planning and Tube Design in Uncertain Nonconvex Environments. CoRR (2023)
Sungkweon Hong, Brian C. Williams
An anytime algorithm for constrained stochastic shortest path problems with deterministic policies. Artif. Intell. 316 (2023)
Cheng Fang, Brian C. Williams
A conflict-directed approach to chance-constrained mixed logical linear programming. Artif. Intell. 323 (2023)
Weiqiao Han, Ashkan Jasour, Brian C. Williams
Real-Time Tube-Based Non-Gaussian Risk Bounded Motion Planning for Stochastic Nonlinear Systems in Uncertain Environments via Motion Primitives. IROS (2023)
Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA (2022)
Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling. IROS (2022)
Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving. CoRR (2022)
Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. CoRR (2022)
Sungkweon Hong, Brian C. Williams
Hierarchical Constrained Stochastic Shortest Path Planning via Cost Budget Allocation. CoRR (2022)
Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
TIP: Task-Informed Motion Prediction for Intelligent Vehicles. IROS (2022)
Weiqiao Han, Ashkan Jasour, Brian C. Williams
Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments. CoRR (2022)
Majid Khonji, Rashid Alyassi, Wolfgang Merkt, Areg Karapetyan, Xin Huang, Sungkweon Hong, Jorge Dias, Brian C. Williams
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection. CoRR (2022)
Cheng Fang, Andrew J. Wang, Brian C. Williams
Chance-constrained Static Schedules for Temporally Probabilistic Plans. J. Artif. Intell. Res. 75 (2022)
Weiqiao Han, Ashkan Jasour, Brian C. Williams
Non-Gaussian Risk Bounded Trajectory Optimization for Stochastic Nonlinear Systems in Uncertain Environments. ICRA (2022)
Jingkai Chen, Jiaoyang Li, Yijiang Huang, Caelan Reed Garrett, Dawei Sun, Chuchu Fan, Andreas G. Hofmann, Caitlin Mueller, Sven Koenig, Brian C. Williams
Cooperative Task and Motion Planning for Multi-Arm Assembly Systems. CoRR (2022)
Han Zhang, Jingkai Chen, Jiaoyang Li, Brian C. Williams, Sven Koenig
Multi-Agent Path Finding for Precedence-Constrained Goal Sequences. AAMAS (2022)
Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. CVPR (2022)
Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling. CoRR (2022)
Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. Auton. Robots 46 (1) (2022)
Siyu Dai, Wei Xu, Andreas G. Hofmann, Brian C. Williams
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards. Robotics: Science and Systems (2021)
Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams
Generalized Conflict-directed Search for Optimal Ordering Problems. CoRR (2021)
Yuening Zhang, Brian C. Williams
Privacy-Preserving Algorithm for Decoupling of Multi-Agent Plans with Uncertainty. ICAPS (2021)
Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR (2021)
Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. CoRR (2021)
Sungkweon Hong, Sang Uk Lee, Xin Huang, Majid Khonji, Rashid Alyassi, Brian C. Williams
An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing. ICRA (2021)
Ashkan Jasour, Allen Wang, Brian C. Williams
Moment-Based Exact Uncertainty Propagation Through Nonlinear Stochastic Autonomous Systems. CoRR (2021)
Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian C. Williams
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. AAAI (2021)
Jingkai Chen, Yuening Zhang, Cheng Fang, Brian C. Williams
Generalized Conflict-Directed Search for Optimal Ordering Problems. SOCS (2021)
Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian C. Williams
Risk Conditioned Neural Motion Planning. IROS (2021)
Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR (2021)
Siyu Dai, Andreas G. Hofmann, Brian C. Williams
Fast-Reactive Probabilistic Motion Planning for High-Dimensional Robots. SN Comput. Sci. 2 (6) (2021)
Jingkai Chen, Brian C. Williams, Chuchu Fan
Optimal mixed discrete-continuous planning for linear hybrid systems. HSCC (2021)
Ashkan Jasour, Weiqiao Han, Brian C. Williams
Convex Risk Bounded Continuous-Time Trajectory Planning in Uncertain Nonconvex Environments. Robotics: Science and Systems (2021)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. 6 (3) (2021)
Ashkan Jasour, Weiqiao Han, Brian C. Williams
Real-Time Risk-Bounded Tube-Based Trajectory Safety Verification. CDC (2021)
Allen Wang, Ashkan Jasour, Brian C. Williams
Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles Under Agent Uncertainty. IEEE Robotics Autom. Lett. 5 (4) (2020)
Eric Timmons, Brian C. Williams
Best-first Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation (Extended Abstract). IJCAI (2020)
Allen Wang, Xin Huang, Ashkan Jasour, Brian C. Williams
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. CoRR (2020)
Allen Wang, Ashkan Jasour, Brian C. Williams
Non-Gaussian Chance-Constrained Trajectory Planning for Autonomous Vehicles in the Presence of Uncertain Agents. CoRR (2020)
Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles. CoRR (2020)
Charles Dawson, Andreas G. Hofmann, Brian C. Williams
Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles. CoRR (2020)
Siyu Dai, Andreas G. Hofmann, Brian C. Williams
Fast-reactive probabilistic motion planning for high-dimensional robots. CoRR (2020)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR (2020)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. 5 (4) (2020)
Allen Wang, Ashkan Jasour, Brian C. Williams
Moment State Dynamical Systems for Nonlinear Chance-Constrained Motion Planning. CoRR (2020)
Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein
Helpfulness as a Key Metric of Human-Robot Collaboration. CoRR (2020)
Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. CoRR (2019)
Nikhil Bhargava, Brian C. Williams
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty (Extended Abstract). IJCAI (2019)
Sang Uk Lee, Andreas G. Hofmann, Brian C. Williams
A Model-Based Human Activity Recognition for Human-Robot Collaboration. IROS (2019)
Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. ICRA (2019)
Nikhil Bhargava, Brian C. Williams
Complexity bounds for the controllability of temporal networks with conditions, disjunctions, and uncertainty. Artif. Intell. 271 (2019)
Jingkai Chen, Cheng Fang, David Wang, Andrew J. Wang, Brian C. Williams
Efficiently Exploring Ordering Problems through Conflict-Directed Search. ICAPS (2019)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR (2019)
Matthew Orton, Siyu Dai, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams
Improving Incremental Planning Performance through Overlapping Replanning and Execution. ICRA (2019)
Ashkan M. Jasour, Brian C. Williams
Risk Contours Map for Risk Bounded Motion Planning under Perception Uncertainties. Robotics: Science and Systems (2019)
Majid Khonji, Ashkan Jasour, Brian C. Williams
Approximability of Constant-horizon Constrained POMDP. IJCAI (2019)
Ashkan M. Jasour, Brian C. Williams
Sequential Chance Optimization For Flow-Tube Based Control Of Probabilistic Nonlinear Systems. CDC (2019)
Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. CoRR (2019)
Nikhil Bhargava, Brian C. Williams
Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds. IJCAI (2019)
Nikhil Bhargava, Brian C. Williams
Multiagent Disjunctive Temporal Networks. AAMAS (2019)
Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. ICAPS (2019)
Nikhil Bhargava, Brian C. Williams
Complexity Bounds for the Controllability of Temporal Networks with Conditions, Disjunctions, and Uncertainty. CoRR (2019)
Xin Huang, Ashkan Jasour, Matthew Deyo, Andreas G. Hofmann, Brian C. Williams
Hybrid Risk-Aware Conditional Planning with Applications in Autonomous Vehicles. CDC (2018)
Jingkai Chen, Cheng Fang, Christian J. Muise, Howard E. Shrobe, Brian C. Williams, Peng Yu
RADMAX: Risk and Deadline Aware Planning for Maximum Utility. AAAI Workshops (2018)
Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams
Moment-Sum-Of-Squares Approach For Fast Risk Estimation In Uncertain Environments. CoRR (2018)
Enrique Fernández-González, Brian C. Williams, Erez Karpas
ScottyActivity: Mixed Discrete-Continuous Planning with Convex Optimization. J. Artif. Intell. Res. 62 (2018)
Aaron Huang, Benjamin J. Ayton, Brian C. Williams
RADMPC: A Fast Decentralized Approach for Chance-Constrained Multi-Vehicle Path-Planning. CoRR (2018)
Benjamin J. Ayton, Brian C. Williams
Vulcan: A Monte Carlo Algorithm for Large Chance Constrained MDPs with Risk Bounding Functions. CoRR (2018)
Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams
Improving Trajectory Optimization using a Roadmap Framework. CoRR (2018)
Ashkan M. Jasour, Andreas G. Hofmann, Brian C. Williams
Moment-Sum-of-Squares Approach for Fast Risk Estimation in Uncertain Environments. CDC (2018)
Siyu Dai, Matthew Orton, Shawn Schaffert, Andreas G. Hofmann, Brian C. Williams
Improving Trajectory Optimization Using a Roadmap Framework. IROS (2018)
Andreas G. Hofmann, Brian C. Williams
Temporally and spatially flexible plan execution for dynamic hybrid systems. Artif. Intell. 247 (2017)
Jesimar da Silva Arantes, Márcio da Silva Arantes, Claudio Fabiano Motta Toledo, Onofre Trindade Júnior, Brian C. Williams
An embedded system architecture based on genetic algorithms for mission and safety planning with UAV. GECCO (2017)
Malik Ghallab, Nick Hawes, Daniele Magazzeni, Brian C. Williams, Andrea Orlandini
Planning and Robotics (Dagstuhl Seminar 17031). Dagstuhl Reports 7 (1) (2017)
Nikhil Bhargava, Tiago Stegun Vaquero, Brian C. Williams
Faster Conflict Generation for Dynamic Controllability. IJCAI (2017)
Andrew J. Wang, Brian C. Williams
Chance-Constrained Scheduling via Conflict-Directed Risk Allocation. AAAI (2015)
Masahiro Ono, Brian C. Williams, Lars Blackmore
Probabilistic Planning for Continuous Dynamic Systems under Bounded Risk. CoRR (2014)
Masahiro Ono, Brian C. Williams, Lars Blackmore
Probabilistic Planning for Continuous Dynamic Systems under Bounded Risk. J. Artif. Intell. Res. 46 (2013)
Masaki Yo, Masahiro Ono, Brian C. Williams, Shuichi Adachi
Risk-limiting, market-based power dispatch and pricing. ECC (2013)
Masahiro Ono, Brian C. Williams, Lars Blackmore
Paper Summary: Probabilistic Planning for Continuous Dynamic Systems under Bounded Risk. ICAPS (2013)
Masahiro Ono, Wesley Graybill, Brian C. Williams
Risk-sensitive plan execution for connected sustainable home. BuildSys@SenSys (2012)
Ashis Gopal Banerjee, Masahiro Ono, Nicholas Roy, Brian C. Williams
Regression-based LP solver for chance-constrained finite horizon optimal control with nonconvex constraints. ACC (2011)
Yi Huang, Brian C. Williams, Li Zheng
Reactive, model-based monitoring in RFID-enabled manufacturing. Comput. Ind. 62 (8-9) (2011)
Lars Blackmore, Masahiro Ono, Brian C. Williams
Chance-Constrained Optimal Path Planning With Obstacles. IEEE Trans. Robotics 27 (6) (2011)
Masahiro Ono, Brian C. Williams
Decentralized chance-constrained finite-horizon optimal control for multi-agent systems. CDC (2010)
Brian C. Williams, Errin W. Fulp
A Biologically Modeled Intrusion Detection System for Mobile Networks. BWCCA (2010)
Klaus Havelund, Martin Leucker, Martin Sachenbacher, Oleg Sokolsky, Brian C. Williams
10451 Executive Summary - Runtime Verification, Diagnosis, Planning and Control for Autonomous Systems. Runtime Verification, Diagnosis, Planning and Control for Autonomous Systems (2010)
Cristina M. Wilcox, Brian C. Williams
Runtime Verification of Stochastic, Faulty Systems. RV (2010)
Klaus Havelund, Martin Leucker, Martin Sachenbacher, Oleg Sokolsky, Brian C. Williams
10451 Abstracts Collection - Runtime Verification, Diagnosis, Planning and Control for Autonomous Systems. Runtime Verification, Diagnosis, Planning and Control for Autonomous Systems (2010)
Lars Blackmore, Masahiro Ono, Askar Bektassov, Brian C. Williams
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control. IEEE Trans. Robotics 26 (3) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Brian C. Williams