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2020 – today
- 2024
[c123]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: 44:1-44:18- [c122]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: 397:1-397:7 - [c121]Joel Loo, David Hsu:
Scene Action Maps: Behavioural Maps for Navigation without Metric Information. ICRA 2024: 6354-6360 - [c120]Naresh Nandakumar, David Hsu, Raheel Ahmed, Archana Venkataraman:
A Deep Learning Framework To Characterize Noisy Labels In Epileptogenic Zone Localization Using Functional Connectivity. ISBI 2024: 1-5 - [c119]Nuwan Janaka, Shengdong Zhao, David Hsu, Sherisse Tan Jing Wen, Chun-Keat Koh:
Demonstrating TOM: A Development Platform for Wearable Intelligent Assistants in Daily Activities. MobileHCI (Companion) 2024: 23:1-23:6 - [i63]Connie Jiang, Yiqing Xu, David Hsu:
LLMs for Robotic Object Disambiguation. CoRR abs/2401.03388 (2024) - [i62]Liwei Kang, Zirui Zhao, David Hsu, Wee Sun Lee:
On the Empirical Complexity of Reasoning and Planning in LLMs. CoRR abs/2404.11041 (2024) - [i61]Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, David Hsu:
Differentiable Particles for General-Purpose Deformable Object Manipulation. CoRR abs/2405.01044 (2024) - [i60]Joel Loo, David Hsu:
Scene Action Maps: Behavioural Maps for Navigation without Metric Information. CoRR abs/2405.07948 (2024) - [i59]Yunfan Lu, Yuchen Ma, David Hsu, Caicai Pan:
Neural Randomized Planning for Whole Body Robot Motion. CoRR abs/2405.11317 (2024) - [i58]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 abs/2405.11928 (2024) - [i57]Joel Loo, Zhanxin Wu, David Hsu:
Open Scene Graphs for Open World Object-Goal Navigation. CoRR abs/2407.02473 (2024) - [i56]Wei Gao, Bo Ai, Joel Loo, Vinay, David Hsu:
IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale. CoRR abs/2407.03122 (2024) - [i55]Nuwan Janaka, Runze Cai, Shengdong Zhao, David Hsu:
Demonstrating PilotAR: A Tool to Assist Wizard-of-Oz Pilot Studies with OHMD. CoRR abs/2407.12388 (2024) - [i54]Nuwan Janaka, Shengdong Zhao, David Hsu, Sherisse Tan Jing Wen, Chun-Keat Koh:
TOM: A Development Platform For Wearable Intelligent Assistants. CoRR abs/2407.15523 (2024) - [i53]Yuhong Deng, David Hsu:
General-purpose Clothes Manipulation with Semantic Keypoints. CoRR abs/2408.08160 (2024) - 2023
- [j43]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): 216-227 (2023) - [j42]Mikko Lauri, David Hsu, Joni Pajarinen:
Partially Observable Markov Decision Processes in Robotics: A Survey. IEEE Trans. Robotics 39(1): 21-40 (2023) - [j41]Panpan Cai, David Hsu:
Closing the Planning-Learning Loop With Application to Autonomous Driving. IEEE Trans. Robotics 39(2): 998-1011 (2023) - [c118]Siwei Chen, Yiqing Xu, Cunjun Yu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu:
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics. ICLR 2023 - [c117]Zirui Zhao, Wee Sun Lee, David Hsu:
Differentiable Parsing and Visual Grounding of Natural Language Instructions for Object Placement. ICRA 2023: 11546-11553 - [c116]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: 1-5 - [c115]Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu:
What Truly Matters in Trajectory Prediction for Autonomous Driving? NeurIPS 2023 - [c114]Zirui Zhao, Wee Sun Lee, David Hsu:
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. NeurIPS 2023 - [i52]Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu:
COACH: Cooperative Robot Teaching. CoRR abs/2302.06199 (2023) - [i51]Yiyuan Lee, Katie Lee, Panpan Cai, David Hsu, Lydia E. Kavraki:
The Planner Optimization Problem: Formulations and Frameworks. CoRR abs/2303.06768 (2023) - [i50]Zirui Zhao, Wee Sun Lee, David Hsu:
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning. CoRR abs/2305.14078 (2023) - [i49]Haoran Wu, Tran Phong, Cunjun Yu, Panpan Cai, Sifa Zheng, David Hsu:
What Truly Matters in Trajectory Prediction for Autonomous Driving? CoRR abs/2306.15136 (2023) - [i48]Yiqing Xu, Finale Doshi-Velez, David Hsu:
On the Effective Horizon of Inverse Reinforcement Learning. CoRR abs/2307.06541 (2023) - [i47]Yiqing Xu, David Hsu:
How to Tidy Up a Table: Fusing Visual and Semantic Commonsense Reasoning for Robotic Tasks with Vague Objectives. CoRR abs/2307.11319 (2023) - [i46]Zhimin Hou, Cunjun Yu, David Hsu, Haoyong Yu:
TeachingBot: Robot Teacher for Human Handwriting. CoRR abs/2309.11848 (2023) - [i45]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 abs/2310.15020 (2023) - [i44]Siwei Chen, Anxing Xiao, David Hsu:
LLM-State: Expandable State Representation for Long-horizon Task Planning in the Open World. CoRR abs/2311.17406 (2023) - 2022
- [j40]Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu:
GAMMA: A General Agent Motion Model for Autonomous Driving. IEEE Robotics Autom. Lett. 7(2): 3499-3506 (2022) - [c113]Mohamad Hosein Danesh, Panpan Cai, David Hsu:
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRL 2022: 199-211 - [c112]Cunjun Yu, Yiqing Xu, Linfeng Li, David Hsu:
COACH: Cooperative Robot Teaching. CoRL 2022: 1092-1103 - [c111]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects. ICRA 2022: 8266-8273 - [c110]Bo Ai, Wei Gao, Vinay, David Hsu:
Deep Visual Navigation under Partial Observability. ICRA 2022: 9439-9446 - [c109]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: 261-281 - [c108]Yiqing Xu, Wei Gao, David Hsu:
Receding Horizon Inverse Reinforcement Learning. NeurIPS 2022 - [i43]Wei Gao, David Hsu, Wee Sun Lee:
Context-Hierarchy Inverse Reinforcement Learning. CoRR abs/2202.12597 (2022) - [i42]Yiqing Xu, Wei Gao, David Hsu:
Receding Horizon Inverse Reinforcement Learning. CoRR abs/2206.04477 (2022) - [i41]Mikko Lauri, David Hsu, Joni Pajarinen:
Partially Observable Markov Decision Processes in Robotics: A Survey. CoRR abs/2209.10342 (2022) - [i40]Mohamad H. Danesh, Panpan Cai, David Hsu:
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty. CoRR abs/2209.11422 (2022) - [i39]Zirui Zhao, Wee Sun Lee, David Hsu:
Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement. CoRR abs/2210.00215 (2022) - [i38]Siwei Chen, Cunjun Yu, Yiqing Xu, Linfeng Li, Xiao Ma, Zhongwen Xu, David Hsu:
Benchmarking Deformable Object Manipulation with Differentiable Physics. CoRR abs/2210.13066 (2022) - 2021
- [j39]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) - [c107]Danielle Currey, David Hsu, Raheel Ahmed, Archana Venkataraman, Jeff Craley:
Cross-site Epileptic Seizure Detection Using Convolutional Neural Networks. CISS 2021: 1-6 - [c106]Péter Karkus, Shaojun Cai, David Hsu:
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. CVPR 2021: 2815-2825 - [c105]Yuanfu Luo, Malika Meghjani, Qi Heng Ho, David Hsu, Daniela Rus:
Interactive Planning for Autonomous Urban Driving in Adversarial Scenarios. ICRA 2021: 5261-5267 - [c104]Hanbo Zhang, Site Bai, Xuguang Lan, David Hsu, Nanning Zheng:
Hindsight Trust Region Policy Optimization. IJCAI 2021: 3335-3341 - [c103]Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu:
Ab Initio Particle-based Object Manipulation. Robotics: Science and Systems 2021 - [c102]Yiyuan Lee, Panpan Cai, David Hsu:
MAGIC: Learning Macro-Actions for Online POMDP Planning. Robotics: Science and Systems 2021 - [c101]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 - [e6]Aleksandra Faust, David Hsu, Gerhard Neumann:
Conference on Robot Learning, 8-11 November 2021, London, UK. Proceedings of Machine Learning Research 164, PMLR 2021 [contents] - [i37]Panpan Cai, David Hsu:
Closing the Planning-Learning Loop with Application to Autonomous Driving in a Crowd. CoRR abs/2101.03834 (2021) - [i36]Xiao Ma, David Hsu, Wee Sun Lee:
Learning Latent Graph Dynamics for Deformable Object Manipulation. CoRR abs/2104.12149 (2021) - [i35]Péter Karkus, Shaojun Cai, David Hsu:
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation. CoRR abs/2105.07593 (2021) - [i34]Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu:
Ab Initio Particle-based Object Manipulation. CoRR abs/2107.08865 (2021) - [i33]Hanbo Zhang, Yunfan Lu, Cunjun Yu, David Hsu, Xuguang Lan, Nanning Zheng:
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter. CoRR abs/2108.11092 (2021) - [i32]Bo Ai, Wei Gao, Vinay, David Hsu:
End-to-End Partially Observable Visual Navigation in a Diverse Environment. CoRR abs/2109.07752 (2021) - 2020
- [j38]Mohit Shridhar, Dixant Mittal, David Hsu:
INGRESS: Interactive visual grounding of referring expressions. Int. J. Robotics Res. 39(2-3) (2020) - [j37]Harold Soh, Yaqi Xie, Min Chen, David Hsu:
Multi-task trust transfer for human-robot interaction. Int. J. Robotics Res. 39(2-3) (2020) - [j36]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): 20-21 (2020) - [j35]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): 9:1-9:23 (2020) - [c100]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. AAAI 2020: 5101-5108 - [c99]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Reinforcement Learning for Complex Observations. CoRL 2020: 959-972 - [c98]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations. ICLR 2020 - [c97]Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu:
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. ICRA 2020: 4023-4029 - [i31]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee, Nan Ye:
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations. CoRR abs/2002.09884 (2020) - [i30]Siwei Chen, Xiao Ma, David Hsu:
DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space. CoRR abs/2007.06207 (2020) - [i29]Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee:
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations. CoRR abs/2008.02430 (2020) - [i28]Yiyuan Lee, Panpan Cai, David Hsu:
MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic. CoRR abs/2011.03813 (2020) - [i27]Yuanfu Luo, Panpan Cai, Yiyuan Lee, David Hsu:
Simulating Autonomous Driving in Massive Mixed Urban Traffic. CoRR abs/2011.05767 (2020)
2010 – 2019
- 2019
- [j34]Yuanfu Luo, Haoyu Bai, David Hsu, Wee Sun Lee:
Importance sampling for online planning under uncertainty. Int. J. Robotics Res. 38(2-3) (2019) - [c96]Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh:
Robot Capability and Intention in Trust-Based Decisions Across Tasks. HRI 2019: 39-47 - [c95]Neha P. Garg, David Hsu, Wee Sun Lee:
Learning To Grasp Under Uncertainty Using POMDPs. ICRA 2019: 2751-2757 - [c94]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian optimization. ICRA 2019: 7242-7248 - [c93]Harold Soh, Pan Shu, Min Chen, David Hsu:
Trust Dynamics and Transfer across Human-Robot Interaction Tasks: Bayesian and Neural Computational Models. IJCAI 2019: 6226-6230 - [c92]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: 2891-2898 - [c91]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 - [c90]Neha Priyadarshini Garg, David Hsu, Wee Sun Lee:
DESPOT-Alpha: Online POMDP Planning with Large State and Observation Spaces. Robotics: Science and Systems 2019 - [c89]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 - [i26]Robert Pinsler, Péter Karkus, Andras Gabor Kupcsik, David Hsu, Wee Sun Lee:
Factored Contextual Policy Search with Bayesian Optimization. CoRR abs/1904.11761 (2019) - [i25]Péter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomás Lozano-Pérez:
Differentiable Algorithm Networks for Composable Robot Learning. CoRR abs/1905.11602 (2019) - [i24]Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee:
LeTS-Drive: Driving in a Crowd by Learning from Tree Search. CoRR abs/1905.12197 (2019) - [i23]Xiao Ma, Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Recurrent Neural Networks. CoRR abs/1905.12885 (2019) - [i22]Yaqi Xie, Indu P. Bodala, Desmond C. Ong, David Hsu, Harold Soh:
Robot Capability and Intention in Trust-based Decisions across Tasks. CoRR abs/1909.05329 (2019) - [i21]Panpan Cai, Yiyuan Lee, Yuanfu Luo, David Hsu:
SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic. CoRR abs/1911.04074 (2019) - 2018
- [j33]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): 3418-3425 (2018) - [c88]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks with Application to Visual Localization. CoRL 2018: 169-178 - [c87]Ziquan Lan, David Hsu, Gim Hee Lee:
Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition. CVPR 2018: 4588-4596 - [c86]Pan Shu, Min Chen, Indu P. Bodala, Stefanos Nikolaidis, David Hsu, Harold Soh:
Human Trust in Robot Capabilities across Tasks. HRI (Companion) 2018: 241-242 - [c85]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Planning with Trust for Human-Robot Collaboration. HRI 2018: 307-315 - [c84]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 - [c83]Jue Kun Li, Wee Sun Lee, David Hsu:
Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties. Robotics: Science and Systems 2018 - [c82]Mohit Shridhar, David Hsu:
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. Robotics: Science and Systems 2018 - [c81]Harold Soh, Pan Shu, Min Chen, David Hsu:
The Transfer of Human Trust in Robot Capabilities across Tasks. Robotics: Science and Systems 2018 - [c80]Min Chen, David Hsu, Wee Sun Lee:
Guided Exploration of Human Intentions for Human-Robot Interaction. WAFR 2018: 921-938 - [i20]Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha S. Srinivasa:
Planning with Trust for Human-Robot Collaboration. CoRR abs/1801.04099 (2018) - [i19]Panpan Cai, Yuanfu Luo, David Hsu, Wee Sun Lee:
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty. CoRR abs/1802.06215 (2018) - [i18]Péter Karkus, David Hsu, Wee Sun Lee:
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations. CoRR abs/1805.08975 (2018) - [i17]Yuanfu Luo, Panpan Cai, Aniket Bera, David Hsu, Wee Sun Lee, Dinesh Manocha:
Autonomous Driving among Many Pedestrians: Models and Algorithms. CoRR abs/1805.11833 (2018) - [i16]Mohit Shridhar, David Hsu:
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction. CoRR abs/1806.03831 (2018) - [i15]Harold Soh, Pan Shu, Min Chen, David Hsu:
The Transfer of Human Trust in Robot Capabilities across Tasks. CoRR abs/1807.01866 (2018) - [i14]Péter Karkus, David Hsu, Wee Sun Lee:
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation. CoRR abs/1807.06696 (2018) - [i13]Min Chen, David Hsu, Wee Sun Lee:
Guided Exploration of Human Intentions for Human-Robot Interaction. CoRR abs/1812.04728 (2018) - 2017
- [j32]Stefanos Nikolaidis, David Hsu, Siddhartha S. Srinivasa:
Human-robot mutual adaptation in collaborative tasks: Models and experiments. Int. J. Robotics Res. 36(5-7): 618-634 (2017) - [j31]Nan Ye, Adhiraj Somani, David Hsu, Wee Sun Lee:
DESPOT: Online POMDP Planning with Regularization. J. Artif. Intell. Res. 58: 231-266 (2017) - [c79]Prince Singh, Min Chen, Luca Carlone, Sertac Karaman, Emilio Frazzoli, David Hsu:
Supermodular mean squared error minimization for sensor scheduling in optimal Kalman Filtering. ACC 2017: 5787-5794 - [c78]Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian:
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRL 2017: 185-194 - [c77]Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa:
Human-Robot Mutual Adaptation in Shared Autonomy. HRI 2017: 294-302 - [c76]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. NIPS 2017: 4694-4704 - [c75]Ziquan Lan, Mohit Shridhar, David Hsu, Shengdong Zhao:
XPose: Reinventing User Interaction with Flying Cameras. Robotics: Science and Systems 2017 - [c74]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Shortest Path under Uncertainty: Exploration versus Exploitation. UAI 2017 - [i12]Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu, Siddhartha S. Srinivasa:
Human-Robot Mutual Adaptation in Shared Autonomy. CoRR abs/1701.07851 (2017) - [i11]Péter Karkus, David Hsu, Wee Sun Lee:
QMDP-Net: Deep Learning for Planning under Partial Observability. CoRR abs/1703.06692 (2017) - [i10]Stefanos Nikolaidis, Jodi Forlizzi, David Hsu, Julie A. Shah, Siddhartha S. Srinivasa:
Mathematical Models of Adaptation in Human-Robot Collaboration. CoRR abs/1707.02586 (2017) - [i9]Mohit Shridhar, David Hsu:
Grounding Spatio-Semantic Referring Expressions for Human-Robot Interaction. CoRR abs/1707.05720 (2017) - [i8]Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian:
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. CoRR abs/1710.05627 (2017) - 2016
- [j30]Zhan Wei Lim, David Hsu, Wee Sun Lee:
Adaptive informative path planning in metric spaces. Int. J. Robotics Res. 35(5): 585-598 (2016) - [j29]José Neira, Dongjun Lee, David Hsu:
Special Issue on the 2015 Robotics: Science & Systems Conference. Int. J. Robotics Res. 35(14): 1679-1680 (2016) - [c73]David Hsu:
Robots in Harmony with Humans. HAI 2016: 1 - [c72]