David Hsu

Orcid: 0000-0002-8343-0406

According to our database1, David Hsu authored at least 174 papers between 1995 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to robot motion planning".

Timeline

Legend:

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Bibliography

2024
LLMs for Robotic Object Disambiguation.
CoRR, 2024

2023
Closing the Planning-Learning Loop With Application to Autonomous Driving.
IEEE Trans. Robotics, April, 2023

Partially Observable Markov Decision Processes in Robotics: A Survey.
IEEE Trans. Robotics, February, 2023

DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity.
IEEE Trans. Biomed. Eng., 2023

LLM-State: Expandable State Representation for Long-horizon Task Planning in the Open World.
CoRR, 2023

Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation.
CoRR, 2023

TeachingBot: Robot Teacher for Human Handwriting.
CoRR, 2023

How to Tidy Up a Table: Fusing Visual and Semantic Commonsense Reasoning for Robotic Tasks with Vague Objectives.
CoRR, 2023

On the Effective Horizon of Inverse Reinforcement Learning.
CoRR, 2023

The Planner Optimization Problem: Formulations and Frameworks.
CoRR, 2023

Large Language Models as Commonsense Knowledge for Large-Scale Task Planning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What Truly Matters in Trajectory Prediction for Autonomous Driving?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
GAMMA: A General Agent Motion Model for Autonomous Driving.
IEEE Robotics Autom. Lett., 2022

Benchmarking Deformable Object Manipulation with Differentiable Physics.
CoRR, 2022

Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement.
CoRR, 2022

Context-Hierarchy Inverse Reinforcement Learning.
CoRR, 2022

Receding Horizon Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Deep Visual Navigation under Partial Observability.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

COACH: Cooperative Robot Teaching.
Proceedings of the Conference on Robot Learning, 2022

LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty.
Proceedings of the Conference on Robot Learning, 2022

2021
HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty.
Int. J. Robotics Res., 2021

End-to-End Partially Observable Visual Navigation in a Diverse Environment.
CoRR, 2021

Learning Latent Graph Dynamics for Deformable Object Manipulation.
CoRR, 2021

Closing the Planning-Learning Loop with Application to Autonomous Driving in a Crowd.
CoRR, 2021

INVIGORATE: Interactive Visual Grounding and Grasping in Clutter.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

MAGIC: Learning Macro-Actions for Online POMDP Planning.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Ab Initio Particle-based Object Manipulation.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Hindsight Trust Region Policy Optimization.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cross-site Epileptic Seizure Detection Using Convolutional Neural Networks.
Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020
Deep Learning and Machine Learning in Robotics [From the Guest Editors].
IEEE Robotics Autom. Mag., 2020

Multi-task trust transfer for human-robot interaction.
Int. J. Robotics Res., 2020

INGRESS: Interactive visual grounding of referring expressions.
Int. J. Robotics Res., 2020

Simulating Autonomous Driving in Massive Mixed Urban Traffic.
CoRR, 2020

MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic.
CoRR, 2020

Contrastive Variational Model-Based Reinforcement Learning for Complex Observations.
CoRR, 2020

DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space.
CoRR, 2020

SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Discriminative Particle Filter Reinforcement Learning for Complex Partial observations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Contrastive Variational Reinforcement Learning for Complex Observations.
Proceedings of the 4th Conference on Robot Learning, 2020

Particle Filter Recurrent Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Importance sampling for online planning under uncertainty.
Int. J. Robotics Res., 2019

Differentiable Algorithm Networks for Composable Robot Learning.
Proceedings of the Robotics: Science and Systems XV, 2019

DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces.
Proceedings of the Robotics: Science and Systems XV, 2019

LeTS-Drive: Driving in a Crowd by Learning from Tree Search.
Proceedings of the Robotics: Science and Systems XV, 2019

Context and Intention Aware Planning for Urban Driving.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Factored Contextual Policy Search with Bayesian optimization.
Proceedings of the International Conference on Robotics and Automation, 2019

Learning To Grasp Under Uncertainty Using POMDPs.
Proceedings of the International Conference on Robotics and Automation, 2019

Robot Capability and Intention in Trust-Based Decisions Across Tasks.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

2018
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians.
IEEE Robotics Autom. Lett., 2018

Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation.
CoRR, 2018

Autonomous Driving among Many Pedestrians: Models and Algorithms.
CoRR, 2018

Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations.
CoRR, 2018

Guided Exploration of Human Intentions for Human-Robot Interaction.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

The Transfer of Human Trust in Robot Capabilities across Tasks.
Proceedings of the Robotics: Science and Systems XIV, 2018

Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction.
Proceedings of the Robotics: Science and Systems XIV, 2018

Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties.
Proceedings of the Robotics: Science and Systems XIV, 2018

Human Trust in Robot Capabilities across Tasks.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Planning with Trust for Human-Robot Collaboration.
Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Particle Filter Networks with Application to Visual Localization.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
DESPOT: Online POMDP Planning with Regularization.
J. Artif. Intell. Res., 2017

Human-robot mutual adaptation in collaborative tasks: Models and experiments.
Int. J. Robotics Res., 2017

Grounding Spatio-Semantic Referring Expressions for Human-Robot Interaction.
CoRR, 2017

Mathematical Models of Adaptation in Human-Robot Collaboration.
CoRR, 2017

Shortest Path under Uncertainty: Exploration versus Exploitation.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

XPose: Reinventing User Interaction with Flying Cameras.
Proceedings of the Robotics: Science and Systems XIII, 2017

QMDP-Net: Deep Learning for Planning under Partial Observability.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Human-Robot Mutual Adaptation in Shared Autonomy.
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Supermodular mean squared error minimization for sensor scheduling in optimal Kalman Filtering.
Proceedings of the 2017 American Control Conference, 2017

2016
Special Issue on the 2015 Robotics: Science & Systems Conference.
Int. J. Robotics Res., 2016

Adaptive informative path planning in metric spaces.
Int. J. Robotics Res., 2016

Factored Contextual Policy Search with Bayesian Optimization.
CoRR, 2016

Configuration Lattices for Planar Contact Manipulation Under Uncertainty.
Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Act to See and See to Act: POMDP planning for objects search in clutter.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

POMDP-lite for robust robot planning under uncertainty.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Formalizing Human-Robot Mutual Adaptation: A Bounded Memory Model.
Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interation, 2016

Robots in Harmony with Humans.
Proceedings of the Fourth International Conference on Human Agent Interaction, 2016

2015
Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms.
Proceedings of the RoboCup 2015: Robot World Cup XIX [papers from the 19th Annual RoboCup International Symposium, 2015

Adaptive Stochastic Optimization: From Sets to Paths.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning Dynamic Robot-to-Human Object Handover from Human Feedback.
Proceedings of the Robotics Research, 2015

POMDP to the Rescue: Boosting Performance for Robocup Rescue.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Towards autonomous navigation of unsignalized intersections under uncertainty of human driver intent.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Intention-aware online POMDP planning for autonomous driving in a crowd.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces.
Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach.
ACM Trans. Multim. Comput. Commun. Appl., 2014

Integrated perception and planning in the continuous space: A POMDP approach.
Int. J. Robotics Res., 2014

Characterization of structural variants with single molecule and hybrid sequencing approaches.
Bioinform., 2014

Covering Number for Efficient Heuristic-based POMDP Planning.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Planning how to learn.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Statistical Model Checking Based Calibration and Analysis of Bio-pathway Models.
Proceedings of the Computational Methods in Systems Biology, 2013

Sampling-based algorithms for continuous-time POMDPs.
Proceedings of the American Control Conference, 2013

2012
Special Issue on the Ninth International Workshop on Algorithmic Foundations of Robotics (WAFR).
Int. J. Robotics Res., 2012

Intention-Aware Motion Planning.
Proceedings of the Algorithmic Foundations of Robotics X, 2012

Intention-Aware Pedestrian Avoidance.
Proceedings of the Experimental Robotics, 2012

Autonomy for mobility on demand.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Monte Carlo Bayesian Reinforcement Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Probabilistic approximations of ODEs based bio-pathway dynamics.
Theor. Comput. Sci., 2011

Component-based construction of bio-pathway models: The parameter estimation problem.
Theor. Comput. Sci., 2011

A Computational and Experimental Study of the Regulatory Mechanisms of the Complement System.
PLoS Comput. Biol., 2011

Motion planning under uncertainty for robotic tasks with long time horizons.
Int. J. Robotics Res., 2011

Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs.
Proceedings of the Robotics: Science and Systems VII, 2011

Monte Carlo Value Iteration with Macro-Actions.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

CAPIR: Collaborative Action Planning with Intention Recognition.
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011

2010
Planning under Uncertainty for Robotic Tasks with Mixed Observability.
Int. J. Robotics Res., 2010

Markov dynamic models for long-timescale protein motion.
Bioinform., 2010

Monte Carlo Value Iteration for Continuous-State POMDPs.
Proceedings of the Algorithmic Foundations of Robotics IX, 2010

Incremental Signaling Pathway Modeling by Data Integration.
Proceedings of the Research in Computational Molecular Biology, 2010

Structured Parameter Elicitation.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
POMDPs for robotic tasks with mixed observability.
Proceedings of the Robotics: Science and Systems V, University of Washington, Seattle, USA, June 28, 2009

Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction.
Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services, 2009

Probabilistic Approximations of Signaling Pathway Dynamics.
Proceedings of the Computational Methods in Systems Biology, 7th International Conference, 2009

2008
pFlexAna: detecting conformational changes in remotely related proteins.
Nucleic Acids Res., 2008

Protein Conformational Flexibility Analysis with Noisy Data.
J. Comput. Biol., 2008

Bounded Uncertainty Roadmaps for Path Planning.
Proceedings of the Algorithmic Foundation of Robotics VIII, 2008

SARSOP: Efficient Point-Based POMDP Planning by Approximating Optimally Reachable Belief Spaces.
Proceedings of the Robotics: Science and Systems IV, 2008

Motion Strategies for People Tracking in Cluttered and Dynamic Environments.
Proceedings of the Experimental Robotics, The Eleventh International Symposium, 2008

A point-based POMDP planner for target tracking.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007
Using Stochastic Roadmap Simulation to Predict Experimental Quantities in Protein Folding Kinetics: Folding Rates and Phi-Values.
J. Comput. Biol., 2007

Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation.
Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007

What makes some POMDP problems easy to approximate?
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Motion Planning for 3-D Target Tracking among Obstacles.
Proceedings of the Robotics Research - The 13th International Symposium, 2007

2006
On the Probabilistic Foundations of Probabilistic Roadmap Planning.
Int. J. Robotics Res., 2006

Neuronal avalanches and criticality: A dynamical model for homeostasis.
Neurocomputing, 2006

Workspace-Based Connectivity Oracle: An Adaptive Sampling Strategy for PRM Planning.
Proceedings of the Algorithmic Foundation of Robotics VII, 2006

Predicting Experimental Quantities in Protein Folding Kinetics Using Stochastic Roadmap Simulation.
Proceedings of the Research in Computational Molecular Biology, 2006

A decompositional approach to parameter estimation in pathway modeling: a case study of the Akt and MAPK pathways and their crosstalk.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Multi-level Free-space Dilation for Sampling narrow Passages in PRM Planning.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

A Greedy Strategy for Tracking a Locally Predictable Target among Obstacles.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005
Narrow passage sampling for probabilistic roadmap planning.
IEEE Trans. Robotics, 2005

A 4.8-6.4-Gb/s serial link for backplane applications using decision feedback equalization.
IEEE J. Solid State Circuits, 2005

Editorial: Special Issue on WAFR 2004.
Int. J. Robotics Res., 2005

A piece-wise harmonic Langevin model of EEG dynamics: Theory and application to EEG seizure detection.
Neurocomputing, 2005

Digital violin tutor: an integrated system for beginning violin learners.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Hybrid PRM Sampling with a Cost-Sensitive Adaptive Strategy.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

A reconfigurable VLSI learning array.
Proceedings of the 31st European Solid-State Circuits Conference, 2005

2004
A 19.2 GOPS mixed-signal filter with floating-gate adaptation.
IEEE J. Solid State Circuits, 2004

Stealth Tracking of an Unpredictable Target among Obstacles.
Proceedings of the Algorithmic Foundations of Robotics VI, 2004

Adaptively combining multiple sampling strategies for probabilistic roadmap planning.
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004

The creation of a music-driven digital violinist.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Workspace importance sampling for probabilistic roadmap planning.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

A Fast Filter for Obstructed Nearest Neighbor Queries.
Proceedings of the Key Technologies for Data Management, 2004

2003
Stochastic Roadmap Simulation: An Efficient Representation and Algorithm for Analyzing Molecular Motion.
J. Comput. Biol., 2003

The bridge test for sampling narrow passages with probabilistic roadmap planners.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

A 19.2GOPS, 20mW adaptive FIR filter.
Proceedings of the ESSCIRC 2003, 2003

2002
Competitive learning with floating-gate circuits.
IEEE Trans. Neural Networks, 2002

Prolog to adaptive CMOS: from biological inspiration to systems-on-a-chip.
Proc. IEEE, 2002

Adaptive CMOS: from biological inspiration to systems-on-a-chip.
Proc. IEEE, 2002

Randomized Kinodynamic Motion Planning with Moving Obstacles.
Int. J. Robotics Res., 2002

Stochastic Conformational Roadmaps for Computing Ensemble Properties of Molecular Motion.
Proceedings of the Algorithmic Foundations of Robotics V, 2002

Stochastic roadmap simulation: an efficient representation and algorithm for analyzing molecular motion.
Proceedings of the Sixth Annual International Conference on Computational Biology, 2002

Adaptive Quantization and Density Estimation in Silicon.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Field-Programmable Learning Arrays.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Using robotics to fold proteins and dock ligands.
Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002

2001
A mixed-signal approach to high-performance low-power linear filters.
IEEE J. Solid State Circuits, 2001

Learning Spike-Based Correlations and Conditional Probabilities in Silicon.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Disconnection Proofs for Motion Planning.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000
Randomized single-query motion planning in expansive spaces.
PhD thesis, 2000

A hierarchical method for real-time distance computation among moving convex bodies.
Comput. Geom., 2000

A Silicon Primitive for Competitive Learning.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Kinodynamic Motion Planning Amidst Moving Obstacles.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

1999
Path Planning in Expansive Configuration Spaces.
Int. J. Comput. Geom. Appl., 1999

<i>H-Walk</i>: Hierarchical Distance Computation for Moving Convex Bodies.
Proceedings of the Fifteenth Annual Symposium on Computational Geometry, 1999

1998
Capturing the Connectivity of High-Dimensional Geometric Spaces by Parallelizable Random Sampling Techniques.
Proceedings of the Parallel and Distributed Processing, 10 IPPS/SPDP'98 Workshops Held in Conjunction with the 12th International Parallel Processing Symposium and 9th Symposium on Parallel and Distributed Processing, Orlando, Florida, USA, March 30, 1998

1995
Computing the largest inscribed isothetic rectangle.
Proceedings of the 7th Canadian Conference on Computational Geometry, 1995


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