Liquid Pouring Monitoring via Rich Sensory Inputs. - Tz-Ying Wu; Juan-Ting Lin; Tsun-Hsuan Wang; Chan-Wei Hu; Juan Carlos Niebles; Min Sun 001 (ECCV (11), 2018)

Omnidirectional CNN for Visual Place Recognition and Navigation. - Tsun-Hsuan Wang; Hung-Jui Huang; Juan-Ting Lin; Chan-Wei Hu; Kuo-Hao Zeng; Min Sun 001 (ICRA, 2018)

Point-to-Point Video Generation. - Tsun-Hsuan Wang; Yen-Chi Cheng; Chieh Hubert Lin; Hwann-Tzong Chen; Min Sun 001 (ICCV, 2019)

Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation. - Tsun-Hsuan Wang; Fu-En Wang; Juan-Ting Lin; Yi-Hsuan Tsai; Wei-Chen Chiu; Min Sun 001 (ICRA, 2019)

3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization. - Tsun-Hsuan Wang; Hou-Ning Hu; Chieh Hubert Lin; Yi-Hsuan Tsai; Wei-Chen Chiu; Min Sun 001 (IROS, 2019)

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. - Tsun-Hsuan Wang; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wenyuan Zeng; Raquel Urtasun (ECCV (2), 2020)

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. - Tsun-Hsuan Wang; Sivabalan Manivasagam; Ming Liang; Bin Yang 021; Wenyuan Zeng; James Tu; Raquel Urtasun (CoRR, 2020)

Adversarial Attacks On Multi-Agent Communication. - James Tu; Tsun-Hsuan Wang; Jingkang Wang; Sivabalan Manivasagam; Mengye Ren; Raquel Urtasun (ICCV, 2021)

Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles. - Paul Tylkin; Tsun-Hsuan Wang; Tim Seyde; Kyle Palko; Ross E. Allen; Alexander Amini; Daniela Rus (AAMAS, 2022)

VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. - Alexander Amini; Tsun-Hsuan Wang; Igor Gilitschenski; Wilko Schwarting; Zhijian Liu; Song Han 003; Sertac Karaman; Daniela Rus (ICRA, 2022)

Learning Interactive Driving Policies via Data-driven Simulation. - Tsun-Hsuan Wang; Alexander Amini; Wilko Schwarting; Igor Gilitschenski; Sertac Karaman; Daniela Rus (ICRA, 2022)

Offline Multi-Agent Reinforcement Learning with Knowledge Distillation. - Wei-Cheng Tseng; Tsun-Hsuan Johnson Wang; Yen-Chen Lin; Phillip Isola (NeurIPS, 2022)

Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving. - Wei Xiao 003; Tsun-Hsuan Wang; Makram Chahine; Alexander Amini; Ramin M. Hasani; Daniela Rus (CoRR, 2022)

Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap. - Mathias Lechner; Ramin M. Hasani; Alexander Amini; Tsun-Hsuan Wang; Thomas A. Henzinger; Daniela Rus (CoRR, 2022)

On the Forward Invariance of Neural ODEs. - Wei Xiao 003; Tsun-Hsuan Wang; Ramin M. Hasani; Mathias Lechner; Daniela Rus (CoRR, 2022)

Interpreting Neural Policies with Disentangled Tree Representations. - Tsun-Hsuan Wang; Wei Xiao 003; Tim Seyde; Ramin M. Hasani; Daniela Rus (CoRR, 2022)

Cooperative Flight Control Using Visual-Attention - Air-Guardian. - Lianhao Yin; Tsun-Hsuan Wang; Makram Chahine; Tim Seyde; Mathias Lechner; Ramin M. Hasani; Daniela Rus (CoRR, 2022)

Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies. - Paul Tylkin; Tsun-Hsuan Wang; Kyle Palko; Ross E. Allen; Ho Chit Siu; Daniel Wrafter; Tim Seyde; Alexander Amini; Daniela Rus (IEEE Robotics Autom. Lett., 2022)

Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. - Tsun-Hsuan Wang; Wei Xiao 003; Tim Seyde; Ramin M. Hasani; Daniela Rus (CoRL, 2023)

Liquid Structural State-Space Models. - Ramin M. Hasani; Mathias Lechner; Tsun-Hsuan Wang; Makram Chahine; Alexander Amini; Daniela Rus (ICLR, 2023)

SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. - Tsun-Hsuan Wang; Pingchuan Ma 002; Andrew Everett Spielberg; Zhou Xian; Hao Zhang; Joshua B. Tenenbaum; Daniela Rus; Chuang Gan 001 (ICLR, 2023)

On the Forward Invariance of Neural ODEs. - Wei Xiao 003; Tsun-Hsuan Wang; Ramin M. Hasani; Mathias Lechner; Yutong Ban; Chuang Gan 001; Daniela Rus (ICML, 2023)

Towards Cooperative Flight Control Using Visual-Attention. - Lianhao Yin; Makram Chahine; Tsun-Hsuan Wang; Tim Seyde; Chao Liu 021; Mathias Lechner; Ramin M. Hasani; Daniela Rus (IROS, 2023)

Machine Learning Best Practices for Soft Robot Proprioception. - Annan Zhang; Tsun-Hsuan Wang; Ryan L. Truby; Lillian Chin; Daniela Rus (IROS, 2023)

Learning Stability Attention in Vision-based End-to-end Driving Policies. - Tsun-Hsuan Wang; Wei Xiao 003; Makram Chahine; Alexander Amini; Ramin M. Hasani; Daniela Rus (L4DC, 2023)

Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning. - Mathias Lechner; Lianhao Yin; Tim Seyde; Tsun-Hsuan Johnson Wang; Wei Xiao 003; Ramin M. Hasani; Joshua Rountree; Daniela Rus (NeurIPS, 2023)

DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. - Tsun-Hsuan Johnson Wang; Juntian Zheng; Pingchuan Ma 002; Yilun Du; Byungchul Kim; Andrew Spielberg; Joshua B. Tenenbaum; Chuang Gan 001; Daniela Rus (NeurIPS, 2023)

Towards A Foundation Model for Generalist Robots: Diverse Skill Learning at Scale via Automated Task and Scene Generation. - Zhou Xian; Théophile Gervet; Zhenjia Xu; Yi-Ling Qiao; Tsun-Hsuan Wang (CoRR, 2023)

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. - Wei Xiao 003; Tsun-Hsuan Wang; Chuang Gan 001; Daniela Rus (CoRR, 2023)

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. - Yufei Wang 007; Zhou Xian; Feng Chen; Tsun-Hsuan Wang; Yian Wang 001; Zackory Erickson; David Held; Chuang Gan 001 (CoRR, 2023)

BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. - Wei Xiao 003; Tsun-Hsuan Wang; Ramin M. Hasani; Makram Chahine; Alexander Amini; Xiao Li 025; Daniela Rus (IEEE Trans. Robotics, 2023)

Robust and Non-conservative Control Barrier Functions for Stochastic Systems with Arbitrary Relative Degree. - Wei Xiao 003; Tsun-Hsuan Wang; Daniela Rus (CDC, 2024)

UBSoft: A Simulation Platform for Robotic Skill Learning in Unbounded Soft Environments. - Chunru Lin; Jugang Fan; Yian Wang 001; Zeyuan Yang 002; Zhehuan Chen; Lixing Fang; Tsun-Hsuan Wang; Zhou Xian; Chuang Gan 001 (CoRL, 2024)

Curiosity-driven Red-teaming for Large Language Models. - Zhang-Wei Hong; Idan Shenfeld; Tsun-Hsuan Wang; Yung-Sung Chuang; Aldo Pareja; James R. Glass; Akash Srivastava; Pulkit Agrawal 001 (ICLR, 2024)

Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. - Yanwei Wang; Tsun-Hsuan Wang; Jiayuan Mao; Michael Hagenow; Julie Shah (ICLR, 2024)

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. - Pingchuan Ma 002; Tsun-Hsuan Wang; Minghao Guo; Zhiqing Sun; Joshua B. Tenenbaum; Daniela Rus; Chuang Gan 001; Wojciech Matusik (ICML, 2024)

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. - Yufei Wang 007; Zhou Xian; Feng Chen; Tsun-Hsuan Wang; Yian Wang 001; Katerina Fragkiadaki; Zackory Erickson; David Held; Chuang Gan 001 (ICML, 2024)

Overparametrization helps offline-to-online generalization of closed-loop control from pixels. - Mathias Lechner; Ramin M. Hasani; Alexander Amini; Tsun-Hsuan Wang; Thomas A. Henzinger; Daniela Rus (ICRA, 2024)

Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. - Tsun-Hsuan Wang; Alaa Maalouf; Wei Xiao 003; Yutong Ban; Alexander Amini; Guy Rosman; Sertac Karaman; Daniela Rus (ICRA, 2024)

Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models. - Phat Nguyen; Tsun-Hsuan Wang; Zhang-Wei Hong; Sertac Karaman; Daniela Rus (IROS, 2024)

Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting. - Yian Wang 001; Xiaowen Qiu; Jiageng Liu; Zhehuan Chen; Jiting Cai; Yufei Wang 007; Tsun-Hsuan Johnson Wang; Zhou Xian; Chuang Gan 001 (NeurIPS, 2024)

Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications. - Yao Du; Carlos M. Mateo; Mirjana Maras; Tsun-Hsuan Wang; Marc Blanchon; Alexander Amini; Daniela Rus; Omar Tahri (CoRR, 2024)

Probing Multimodal LLMs as World Models for Driving. - Shiva Sreeram; Tsun-Hsuan Wang; Alaa Maalouf; Guy Rosman; Sertac Karaman; Daniela Rus (CoRR, 2024)

ABNet: Attention BarrierNet for Safe and Scalable Robot Learning. - Wei Xiao 003; Tsun-Hsuan Wang; Daniela Rus (CoRR, 2024)

Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference. - Huy-Dung Nguyen; Anass Bairouk; Mirjana Maras; Wei Xiao 003; Tsun-Hsuan Wang; Patrick Chareyre; Ramin M. Hasani; Marc Blanchon; Daniela Rus (CoRR, 2024)

Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering. - Fouad Makiyeh; Mark Bastourous; Anass Bairouk; Wei Xiao 003; Mirjana Maras; Tsun-Hsuan Wang; Marc Blanchon; Ramin M. Hasani; Patrick Chareyre; Daniela Rus (CoRR, 2024)

Flex: End-to-End Text-Instructed Visual Navigation with Foundation Models. - Makram Chahine; Alex Quach; Alaa Maalouf; Tsun-Hsuan Wang; Daniela Rus (CoRR, 2024)

Embodied Red Teaming for Auditing Robotic Foundation Models. - Sathwik Karnik; Zhang-Wei Hong; Nishant Abhangi; Yen-Chen Lin; Tsun-Hsuan Wang; Pulkit Agrawal 001 (CoRR, 2024)

SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. - Wei Xiao 003; Tsun-Hsuan Wang; Chuang Gan 001; Ramin M. Hasani; Mathias Lechner; Daniela Rus (ICLR, 2025)

ReGen: Generative Robot Simulation via Inverse Design. - Phat Tan Nguyen; Tsun-Hsuan Wang; Zhang-Wei Hong; Erfan Aasi; Andrew Silva; Guy Rosman; Sertac Karaman; Daniela Rus (ICLR, 2025)

Articulate AnyMesh: Open-Vocabulary 3D Articulated Objects Modeling. - Xiaowen Qiu; Jincheng Yang; Yian Wang 001; Zhehuan Chen; Yufei Wang 007; Tsun-Hsuan Wang; Zhou Xian; Chuang Gan 001 (CoRR, 2025)

LuciBot: Automated Robot Policy Learning from Generated Videos. - Xiaowen Qiu; Yian Wang 001; Jiting Cai; Zhehuan Chen; Chunru Lin; Tsun-Hsuan Wang; Chuang Gan 001 (CoRR, 2025)

DataS^3: Dataset Subset Selection for Specialization. - Neha Hulkund; Alaa Maalouf; Levi Cai; Daniel Yang; Tsun-Hsuan Wang; Abigail O'Neil; Timm Haucke; Sandeep Mukherjee; Vikram Ramaswamy; Judy Hansen Shen; Gabriel Tseng; Mike Walmsley; et al. (CoRR, 2025)

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills. - Chunru Lin; Haotian Yuan 005; Yian Wang 001; Xiaowen Qiu; Tsun-Hsuan Wang; Minghao Guo; Bohan Wang; Yashraj Narang; Dieter Fox; Chuang Gan 001 (CoRR, 2025)

Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models. - Haoyang Wu; Tsun-Hsuan Wang; Mathias Lechner; Ramin M. Hasani; Jennifer A. Eckhoff; Paul Pak; Ozanan R. Meireles; Guy Rosman; Yutong Ban; Daniela Rus (CoRR, 2025)