David Hsu

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 137

Top Venues

CoRR

Robotics: Science and Systems

ICRA

Int. J. Robotics Res.

Publications

Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, David Hsu
Differentiable Particles for General-Purpose Deformable Object Manipulation. CoRR (2024)
Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee
On the Empirical Complexity of Reasoning and Planning in LLMs. CoRR (2024)
Wei Gao, Bo Ai, Joel Loo, Vinay, David Hsu
IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale. CoRR (2024)
Shaojun Cai, Ashwin Ram, Zhengtai Gou, Mohd Alqama Wasim Shaikh, Yu-An Chen, Yingjia Wan, Kotaro Hara, Shengdong Zhao, David Hsu
Navigating Real-World Challenges: A Quadruped Robot Guiding System for Visually Impaired People in Diverse Environments. CHI (2024)
Nuwan Janaka, Runze Cai, Shengdong Zhao, David Hsu
Demonstrating PilotAR: A Tool to Assist Wizard-of-Oz Pilot Studies with OHMD. CoRR (2024)
Joel Loo, Zhanxin Wu, David Hsu
Open Scene Graphs for Open World Object-Goal Navigation. CoRR (2024)
Nuwan Janaka, Runze Cai, Shengdong Zhao, David Hsu
Demonstrating PANDALens: Enhancing Daily Activity Documentation with AI-assisted In-Context Writing on OHMD. CHI Extended Abstracts (2024)
Joel Loo, David Hsu
Scene Action Maps: Behavioural Maps for Navigation without Metric Information. CoRR (2024)
Joel Loo, David Hsu
Scene Action Maps: Behavioural Maps for Navigation without Metric Information. ICRA (2024)
Yunfan Lu, Yuchen Ma, David Hsu, Caicai Pan
Neural Randomized Planning for Whole Body Robot Motion. CoRR (2024)
Connie Jiang, Yiqing Xu, David Hsu
LLMs for Robotic Object Disambiguation. CoRR (2024)
Yiqing Xu, Jiayuan Mao, Yilun Du, Tomás Lozano-Pérez, Leslie Pack Kaelbling, David Hsu
"Set It Up!": Functional Object Arrangement with Compositional Generative Models. CoRR (2024)
Nuwan Janaka, Shengdong Zhao, David Hsu, Sherisse Tan Jing Wen, Chun-Keat Koh
TOM: A Development Platform For Wearable Intelligent Assistants. CoRR (2024)
Haoran Wu, Tran Phong, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu
What Truly Matters in Trajectory Prediction for Autonomous Driving? CoRR (2023)
Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. ICLR (2023)
Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman
A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network. ISBI (2023)
Zirui Zhao, Wee Sun Lee, David Hsu
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. NeurIPS (2023)
Zirui Zhao, Wee Sun Lee, David Hsu
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. CoRR (2023)
Panpan Cai, David Hsu
Closing the Planning-Learning Loop With Application to Autonomous Driving. IEEE Trans. Robotics 39 (2) (2023)
Zhimin Hou, Cunjun Yu, David Hsu, Haoyong Yu
TeachingBot: Robot Teacher for Human Handwriting. CoRR (2023)
Bo Ai, Zhanxin Wu, David Hsu
Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation. CoRR (2023)
Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu
What Truly Matters in Trajectory Prediction for Autonomous Driving? NeurIPS (2023)
Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu
COACH: Cooperative Robot Teaching. CoRR (2023)
Mikko Lauri, David Hsu, Joni Pajarinen
Partially Observable Markov Decision Processes in Robotics: A Survey. IEEE Trans. Robotics 39 (1) (2023)
Yiqing Xu, David Hsu
How to Tidy Up a Table: Fusing Visual and Semantic Commonsense Reasoning for Robotic Tasks with Vague Objectives. CoRR (2023)
Zirui Zhao, Wee Sun Lee, David Hsu
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement. ICRA (2023)
Siwei Chen, Anxing Xiao, David Hsu
LLM-State: Expandable State Representation for Long-horizon Task Planning in the Open World. CoRR (2023)
Yiyuan Lee, Katie Lee, David Hsu, Panpan Cai, Lydia E. Kavraki
The Planner Optimization Problem: Formulations and Frameworks. CoRR (2023)
Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman
DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity. IEEE Trans. Biomed. Eng. 70 (1) (2023)
Yiqing Xu, Finale Doshi-Velez, David Hsu
On the Effective Horizon of Inverse Reinforcement Learning. CoRR (2023)
Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu
Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR (2022)
Mikko Lauri, David Hsu, Joni Pajarinen
Partially Observable Markov Decision Processes in Robotics: A Survey. CoRR (2022)
Wei Gao, David Hsu, Wee Sun Lee
Context-Hierarchy Inverse Reinforcement Learning. CoRR (2022)
Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu
GAMMA: A General Agent Motion Model for Autonomous Driving. IEEE Robotics Autom. Lett. 7 (2) (2022)
Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu
COACH: Cooperative Robot Teaching. CoRL (2022)
Yiqing Xu, Wei Gao, David Hsu
Receding Horizon Inverse Reinforcement Learning. NeurIPS (2022)
Zirui Zhao, Wee Sun Lee, David Hsu
Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement. CoRR (2022)
Bo Ai, Wei Gao, Vinay, David Hsu
Deep Visual Navigation under Partial Observability. ICRA (2022)
Xiao Ma, David Hsu, Wee Sun Lee
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA (2022)
Mohamad Hosein Danesh, Panpan Cai, David Hsu
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRL (2022)
Jeff Craley, Emily Johnson, Christophe Jouny, David Hsu, Raheel Ahmed, Archana Venkataraman
SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG. MIDL (2022)
Yiqing Xu, Wei Gao, David Hsu
Receding Horizon Inverse Reinforcement Learning. CoRR (2022)
Mohamad H. Danesh, Panpan Cai, David Hsu
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRR (2022)
Péter Karkus, Shaojun Cai, David Hsu
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. CVPR (2021)
Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu
Ab Initio Particle-based Object Manipulation. CoRR (2021)
Bo Ai, Wei Gao, Vinay, David Hsu
End-to-End Partially Observable Visual Navigation in a Diverse Environment. CoRR (2021)
Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan, Nanning Zheng
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. Robotics: Science and Systems (2021)
Péter Karkus, Shaojun Cai, David Hsu
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation. CoRR (2021)
Yuanfu Luo, Malika Meghjani, Qi Heng Ho, David Hsu, Daniela Rus
Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios. ICRA (2021)
Yiyuan Lee, Panpan Cai, David Hsu
MAGIC: Learning Macro-Actions for Online POMDP Planning. Robotics: Science and Systems (2021)
Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu
Ab Initio Particle-based Object Manipulation. Robotics: Science and Systems (2021)
Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan, Nanning Zheng
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. CoRR (2021)
Panpan Cai, David Hsu
Closing the Planning-Learning Loop with Application to Autonomous Driving in a Crowd. CoRR (2021)
Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng
Hindsight Trust Region Policy Optimization. IJCAI (2021)
Xiao Ma, David Hsu, Wee Sun Lee
Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR (2021)
Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
HyP-DESPOT: A hybrid parallel algorithm for online planning under uncertainty. Int. J. Robotics Res. 40 (2-3) (2021)
Danielle Currey, David Hsu, Raheel Ahmed, Archana Venkataraman, Jeff Craley
Cross-site Epileptic Seizure Detection Using Convolutional Neural Networks. CISS (2021)
Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu
Simulating Autonomous Driving in Massive Mixed Urban Traffic. CoRR (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR (2020)
Harold Soh, Yaqi Xie, Min Chen, David Hsu
Multi-task trust transfer for human-robot interaction. Int. J. Robotics Res. 39 (2-3) (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR (2020)
Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR (2020)
Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning. ACM Trans. Hum. Robot Interact. 9 (2) (2020)
Mohit Shridhar, Dixant Mittal, David Hsu
INGRESS: Interactive visual grounding of referring expressions. Int. J. Robotics Res. 39 (2-3) (2020)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Recurrent Neural Networks. AAAI (2020)
Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. ICRA (2020)
Siwei Chen, Xiao Ma, David Hsu
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. CoRR (2020)
Fabio Bonsignorio, David Hsu, Matthew Johnson-Roberson, Jens Kober
Deep Learning and Machine Learning in Robotics [From the Guest Editors]. IEEE Robotics Autom. Mag. 27 (2) (2020)
Yiyuan Lee, Panpan Cai, David Hsu
MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic. CoRR (2020)
Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee
Contrastive Variational Reinforcement Learning for Complex Observations. CoRL (2020)
Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. Robotics: Science and Systems (2019)
Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee
Importance sampling for online planning under uncertainty. Int. J. Robotics Res. 38 (2-3) (2019)
Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Recurrent Neural Networks. CoRR (2019)
Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh
Robot Capability and Intention in Trust-based Decisions across Tasks. CoRR (2019)
Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
Differentiable Algorithm Networks for Composable Robot Learning. CoRR (2019)
Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
Factored Contextual Policy Search with Bayesian Optimization. CoRR (2019)
Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. CoRR (2019)
Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. CoRR (2019)
Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee
Factored Contextual Policy Search with Bayesian optimization. ICRA (2019)
Harold Soh, Pan Shu, Min Chen, David Hsu
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. IJCAI (2019)
Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez
Differentiable Algorithm Networks for Composable Robot Learning. Robotics: Science and Systems (2019)
Malika Meghjani, Yuanfu Luo, Qi Heng Ho, Panpan Cai, Shashwat Verma, Daniela Rus, David Hsu
Context and Intention Aware Planning for Urban Driving. IROS (2019)
Neha P. Garg, David Hsu, Wee Sun Lee
Learning To Grasp Under Uncertainty Using POMDPs. ICRA (2019)
Neha Priyadarshini Garg, David Hsu, Wee Sun Lee
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces. Robotics: Science and Systems (2019)
Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh
Robot Capability and Intention in Trust-Based Decisions Across Tasks. HRI (2019)
Péter Karkus, David Hsu, Wee Sun Lee
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR (2018)
Mohit Shridhar, David Hsu
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. CoRR (2018)
Jue Kun Li, Wee Sun Lee, David Hsu
Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties. Robotics: Science and Systems (2018)
Pan Shu, Chen Min, Indu P. Bodala, Stefanos Nikolaidis, David Hsu, Harold Soh
Human Trust in Robot Capabilities across Tasks. HRI (Companion) (2018)
Min Chen, David Hsu, Wee Sun Lee
Guided Exploration of Human Intentions for Human-Robot Interaction. WAFR (2018)
Mohit Shridhar, David Hsu
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. Robotics: Science and Systems (2018)
Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha
Autonomous Driving among Many Pedestrians: Models and Algorithms. CoRR (2018)
Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR (2018)
Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. Robotics: Science and Systems (2018)
Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa
Planning with Trust for Human-Robot Collaboration. CoRR (2018)
Min Chen, David Hsu, Wee Sun Lee
Guided Exploration of Human Intentions for Human-Robot Interaction. CoRR (2018)
Péter Karkus, David Hsu, Wee Sun Lee
Particle Filter Networks with Application to Visual Localization. CoRL (2018)
Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. CoRR (2018)
Harold Soh, Pan Shu, Min Chen, David Hsu
The Transfer of Human Trust in Robot Capabilities across Tasks. Robotics: Science and Systems (2018)
Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha
PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians. IEEE Robotics Autom. Lett. 3 (4) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Hsu