Stable Proportional-Derivative Controllers. - Jie Tan 001; C. Karen Liu; Greg Turk (IEEE Computer Graphics and Applications, 2011)

Articulated swimming creatures. - Jie Tan 001; Yuting Gu; Greg Turk; C. Karen Liu (ACM Trans. Graph., 2011)

Soft body locomotion. - Jie Tan 001; Greg Turk; C. Karen Liu (ACM Trans. Graph., 2012)

Learning bicycle stunts. - Jie Tan 001; Yuting Gu; C. Karen Liu; Greg Turk (ACM Trans. Graph., 2014)

Computer Simulations Imply Forelimb-Dominated Underwater Flight in Plesiosaurs. - Shiqiu Liu; Adam S. Smith; Yuting Gu; Jie Tan 001; C. Karen Liu; Greg Turk (PLoS Comput. Biol., 2015)

Animating human dressing. - Alexander Clegg; Jie Tan 001; Greg Turk; C. Karen Liu (ACM Trans. Graph., 2015)

Simulation-based design of dynamic controllers for humanoid balancing. - Jie Tan 001; Zhaoming Xie; Byron Boots; C. Karen Liu (IROS, 2016)

Locomotion synthesis in complex physically simulated environments. - Jie Tan 001 (2016)

Large-Scale Evolution of Image Classifiers. - Esteban Real; Sherry Moore; Andrew Selle; Saurabh Saxena; Yutaka I. Leon-Suematsu; Jie Tan 001; Quoc V. Le; Alexey Kurakin (ICML, 2017)

Haptic simulation for robot-assisted dressing. - Wenhao Yu 003; Ariel Kapusta; Jie Tan 001; Charles C. Kemp; Greg Turk; C. Karen Liu (ICRA, 2017)

Learning to navigate cloth using haptics. - Alexander Clegg; Wenhao Yu 003; Zackory Erickson; Jie Tan 001; C. Karen Liu; Greg Turk (IROS, 2017)

Preparing for the Unknown: Learning a Universal Policy with Online System Identification. - Wenhao Yu 003; Jie Tan 001; C. Karen Liu; Greg Turk (Robotics: Science and Systems, 2017)

Learning Human Behaviors for Robot-Assisted Dressing. - Alexander Clegg; Wenhao Yu 003; Jie Tan 001; Charlie C. Kemp; Greg Turk; C. Karen Liu (CoRR, 2017)

Policies Modulating Trajectory Generators. - Atil Iscen; Ken Caluwaerts; Jie Tan 001; Tingnan Zhang; Erwin Coumans; Vikas Sindhwani; Vincent Vanhoucke (CoRL, 2018)

Optimizing Simulations with Noise-Tolerant Structured Exploration. - Krzysztof Choromanski; Atil Iscen; Vikas Sindhwani; Jie Tan 001; Erwin Coumans (ICRA, 2018)

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots. - Jie Tan 001; Tingnan Zhang; Erwin Coumans; Atil Iscen; Yunfei Bai; Danijar Hafner; Steven Bohez; Vincent Vanhoucke (Robotics: Science and Systems, 2018)

Soft Actor-Critic Algorithms and Applications. - Tuomas Haarnoja; Aurick Zhou; Kristian Hartikainen; George Tucker; Sehoon Ha; Jie Tan 001; Vikash Kumar; Henry Zhu; Abhishek Gupta 004; Pieter Abbeel; Sergey Levine (CoRR, 2018)

Learning to dress: synthesizing human dressing motion via deep reinforcement learning. - Alexander Clegg; Wenhao Yu 003; Jie Tan 001; C. Karen Liu; Greg Turk (ACM Trans. Graph., 2018)

NoRML: No-Reward Meta Learning. - Yuxiang Yang 007; Ken Caluwaerts; Atil Iscen; Jie Tan 001; Chelsea Finn (AAMAS, 2019)

Data Efficient Reinforcement Learning for Legged Robots. - Yuxiang Yang 007; Ken Caluwaerts; Atil Iscen; Tingnan Zhang; Jie Tan 001; Vikas Sindhwani (CoRL, 2019)

Learning to Walk Via Deep Reinforcement Learning. - Tuomas Haarnoja; Sehoon Ha; Aurick Zhou; Jie Tan 001; George Tucker; Sergey Levine (Robotics: Science and Systems, 2019)

Adaptive Power System Emergency Control using Deep Reinforcement Learning. - Qiuhua Huang; Weituo Hao; Jie Tan 001; Rui Fan 003; Zhenyu Huang 001 (CoRR, 2019)

Learning to Walk in the Real World with Minimal Human Effort. - Sehoon Ha; Peng Xu 010; Zhenyu Tan; Sergey Levine; Jie Tan 001 (CoRL, 2020)

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. - Rose E. Wang; J. Chase Kew; Dennis Lee 003; Tsang-Wei Edward Lee; Tingnan Zhang; Brian Ichter; Jie Tan 001; Aleksandra Faust (CoRL, 2020)

Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning. - Ali Marjaninejad; Jie Tan 001; Francisco J. Valero Cuevas (EMBC, 2020)

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. - Xinlei Pan; Tingnan Zhang; Brian Ichter; Aleksandra Faust; Jie Tan 001; Sehoon Ha (ICRA, 2020)

Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. - Xingyou Song; Yuxiang Yang 007; Krzysztof Choromanski; Ken Caluwaerts; Wenbo Gao; Chelsea Finn; Jie Tan 001 (IROS, 2020)

Learning Agile Locomotion via Adversarial Training. - Yujin Tang; Jie Tan 001; Tatsuya Harada (IROS, 2020)

Learning Agile Robotic Locomotion Skills by Imitating Animals. - Xue Bin Peng; Erwin Coumans; Tingnan Zhang; Tsang-Wei Edward Lee; Jie Tan 001; Sergey Levine (Robotics: Science and Systems, 2020)

Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation. - Rose E. Wang; J. Chase Kew; Dennis Lee 003; Tsang-Wei Edward Lee; Tingnan Zhang; Brian Ichter; Jie Tan 001; Aleksandra Faust (CoRR, 2020)

Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control. - Renke Huang; Yujiao Chen; Tianzhixi Yin; Xinya Li 002; Ang Li 006; Jie Tan 001; Qiuhua Huang (CoRR, 2020)

Learning to be Safe: Deep RL with a Safety Critic. - Krishnan Srinivasan; Benjamin Eysenbach; Sehoon Ha; Jie Tan 001; Chelsea Finn (CoRR, 2020)

Zero-Shot Terrain Generalization for Visual Locomotion Policies. - Alejandro Escontrela; George Yu; Peng Xu 010; Atil Iscen; Jie Tan 001 (CoRR, 2020)

Safe Reinforcement Learning for Emergency LoadShedding of Power Systems. - Thanh Long Vu 002; Sayak Mukherjee; Tim Yin; Renke Huang; Jie Tan 001; Qiuhua Huang (CoRR, 2020)

Learning Fast Adaptation With Meta Strategy Optimization. - Wenhao Yu 003; Jie Tan 001; Yunfei Bai; Erwin Coumans; Sehoon Ha (IEEE Robotics Autom. Lett., 2020)

Adaptive Power System Emergency Control Using Deep Reinforcement Learning. - Qiuhua Huang; Renke Huang; Weituo Hao; Jie Tan 001; Rui Fan 003; Zhenyu Huang 001 (IEEE Trans. Smart Grid, 2020)

Visual-Locomotion: Learning to Walk on Complex Terrains with Vision. - Wenhao Yu 003; Deepali Jain; Alejandro Escontrela; Atil Iscen; Peng Xu 010; Erwin Coumans; Sehoon Ha; Jie Tan 001; Tingnan Zhang (CoRL, 2021)

Fast and Efficient Locomotion via Learned Gait Transitions. - Yuxiang Yang 007; Tingnan Zhang; Erwin Coumans; Jie Tan 001; Byron Boots (CoRL, 2021)

SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning. - Yifeng Jiang 002; Tingnan Zhang; Daniel Ho; Yunfei Bai; C. Karen Liu; Sergey Levine; Jie Tan 001 (ICRA, 2021)

Learning Agile Locomotion Skills with a Mentor. - Atil Iscen; George Yu; Alejandro Escontrela; Deepali Jain; Jie Tan 001; Ken Caluwaerts (ICRA, 2021)

Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning. - Renke Huang; Yujiao Chen; Tianzhixi Yin; Qiuhua Huang; Jie Tan 001; Wenhao Yu 003; Xinya Li 002; Ang Li 006; Yan Du (CoRR, 2021)

How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned. - Julian Ibarz; Jie Tan 001; Chelsea Finn; Mrinal Kalakrishnan; Peter Pastor; Sergey Levine (CoRR, 2021)

Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery. - Yan Du; Qiuhua Huang; Renke Huang; Tianzhixi Yin; Jie Tan 001; Wenhao Yu 003; Xinya Li 002 (CoRR, 2021)

MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance. - Michael Luo; Ashwin Balakrishna; Brijen Thananjeyan; Suraj Nair 003; Julian Ibarz; Jie Tan 001; Chelsea Finn; Ion Stoica; Ken Goldberg (CoRR, 2021)

How to train your robot with deep reinforcement learning: lessons we have learned. - Julian Ibarz; Jie Tan 001; Chelsea Finn; Mrinal Kalakrishnan; Peter Pastor; Sergey Levine (Int. J. Robotics Res., 2021)

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation. - Xuesu Xiao; Tingnan Zhang; Krzysztof Marcin Choromanski; Tsang-Wei Edward Lee; Anthony G. Francis; Jake Varley; Stephen Tu; Sumeet Singh; Peng Xu 010; Fei Xia 002; Sven Mikael Persson; Dmitry Kalashnikov; et al. (CoRL, 2022)

Learning Semantics-Aware Locomotion Skills from Human Demonstration. - Yuxiang Yang 007; Xiangyun Meng; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Byron Boots (CoRL, 2022)

Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World. - Laura M. Smith; J. Chase Kew; Xue Bin Peng; Sehoon Ha; Jie Tan 001; Sergey Levine (ICRA, 2022)

PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. - Kuang-Huei Lee; Ofir Nachum; Tingnan Zhang; Sergio Guadarrama; Jie Tan 001; Wenhao Yu 003 (IROS, 2022)

Safe Reinforcement Learning for Legged Locomotion. - Tsung-Yen Yang; Tingnan Zhang; Linda Luu; Sehoon Ha; Jie Tan 001; Wenhao Yu 003 (IROS, 2022)

Multi-objective evolution for Generalizable Policy Gradient Algorithms. - Juan Jose Garau Luis; Yingjie Miao; John D. Co-Reyes; Aaron Parisi; Jie Tan 001; Esteban Real; Aleksandra Faust (CoRR, 2022)

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning. - Ramij Raja Hossain; Tianzhixi Yin; Yan Du; Renke Huang; Jie Tan 001; Wenhao Yu 003; Yuan Liu 023; Qiuhua Huang (CoRR, 2022)

Learning to Navigate Sidewalks in Outdoor Environments. - Maks Sorokin; Jie Tan 001; C. Karen Liu; Sehoon Ha (IEEE Robotics Autom. Lett., 2022)

Language to Rewards for Robotic Skill Synthesis. - Wenhao Yu 003; Nimrod Gileadi; Chuyuan Fu; Sean Kirmani; Kuang-Huei Lee; Montserrat Gonzalez Arenas; Hao-Tien Lewis Chiang; Tom Erez; Leonard Hasenclever; Jan Humplik; Brian Ichter; Ted Xiao; et al. (CoRL, 2023)

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. - Joanne Taery Kim; Wenhao Yu 003; Yash Kothari; Bruce N. Walker; Jie Tan 001; Greg Turk; Sehoon Ha (CoRL, 2023)

SayTap: Language to Quadrupedal Locomotion. - Yujin Tang; Wenhao Yu 003; Jie Tan 001; Heiga Zen; Aleksandra Faust; Tatsuya Harada (CoRL, 2023)

CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. - Yuxiang Yang 007; Guanya Shi; Xiangyun Meng; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Byron Boots (CoRL, 2023)

How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. - Joanne Taery Kim; Wenhao Yu 003; Jie Tan 001; Greg Turk; Sehoon Ha (HRI (Companion), 2023)

On the Robustness of Safe Reinforcement Learning under Observational Perturbations. - Zuxin Liu; Zijian Guo 002; Zhepeng Cen; Huan Zhang 001; Jie Tan 001; Bo Li 026; Ding Zhao (ICLR, 2023)

Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization. - Thomas Lew; Sumeet Singh; Mario Prats; Jeffrey Bingham; Jonathan Weisz; Benjie Holson; Xiaohan Zhang; Vikas Sindhwani; Yao Lu 006; Fei Xia 002; Peng Xu 010; Tingnan Zhang; et al. (ICRA, 2023)

Discovering Adaptable Symbolic Algorithms from Scratch. - Stephen Kelly; Daniel S. Park; Xingyou Song; Mitchell McIntire; Pranav Nashikkar; Ritam Guha; Wolfgang Banzhaf; Kalyanmoy Deb; Vishnu Naresh Boddeti; Jie Tan 001; Esteban Real (IROS, 2023)

On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning. - Maks Sorokin; Chuyuan Fu; Jie Tan 001; C. Karen Liu; Yunfei Bai; Wenlong Lu; Sehoon Ha; Mohi Khansari (IROS, 2023)

Continuous Versatile Jumping Using Learned Action Residuals. - Yuxiang Yang 007; Xiangyun Meng; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Byron Boots (L4DC, 2023)

Mnemosyne: Learning to Train Transformers with Transformers. - Deepali Jain; Krzysztof Marcin Choromanski; Kumar Avinava Dubey; Sumeet Singh; Vikas Sindhwani; Tingnan Zhang; Jie Tan 001 (NeurIPS, 2023)

Learning and Adapting Agile Locomotion Skills by Transferring Experience. - Laura M. Smith; J. Chase Kew; Tianyu Li; Linda Luu; Xue Bin Peng; Sehoon Ha; Jie Tan 001; Sergey Levine (Robotics: Science and Systems, 2023)

Barkour: Benchmarking Animal-level Agility with Quadruped Robots. - Ken Caluwaerts; Atil Iscen; J. Chase Kew; Wenhao Yu 003; Tingnan Zhang; Daniel Freeman; Kuang-Huei Lee; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; et al. (CoRR, 2023)

Datasets and Benchmarks for Offline Safe Reinforcement Learning. - Zuxin Liu; Zijian Guo 002; Haohong Lin; Yihang Yao; Jiacheng Zhu; Zhepeng Cen; Hanjiang Hu; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Ding Zhao (CoRR, 2023)

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. - Joanne Taery Kim; Wenhao Yu 003; Yash Kothari; Jie Tan 001; Greg Turk; Sehoon Ha (CoRR, 2023)

Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control. - Qiuhua Huang; Renke Huang; Tianzhixi Yin; Sohom Datta; Xueqing Sun; Z. Jason Hou; Jie Tan 001; Wenhao Yu 003; Yuan Liu 023; Xinya Li 002; Bruce Palmer; Ang Li 006; et al. (CoRR, 2023)

Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios. - Qiping Zhang; Nathan Tsoi; Booyeon Choi; Jie Tan 001; Hao-Tien Lewis Chiang; Marynel Vázquez (CoRR, 2023)

Creative Robot Tool Use with Large Language Models. - Mengdi Xu; Peide Huang; Wenhao Yu 003; Shiqi Liu 005; Xilun Zhang; Yaru Niu; Tingnan Zhang; Fei Xia 002; Jie Tan 001; Ding Zhao (CoRR, 2023)

User preference optimization for control of ankle exoskeletons using sample efficient active learning. - Ung Hee Lee; Varun S. Shetty; Patrick W. Franks; Jie Tan 001; Georgios Evangelopoulos; Sehoon Ha; Elliott J. Rouse (Sci. Robotics, 2023)

Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination. - Duy Phuong Nguyen; Kai-Chieh Hsu; Wenhao Yu 003; Jie Tan 001; Jaime Fernández Fisac (CoRL, 2024)

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. - Zhuo Xu; Hao-Tien Lewis Chiang; Zipeng Fu; Mithun George Jacob; Tingnan Zhang; Tsang-Wei Edward Lee; Wenhao Yu 003; Connor Schenck; David Rendleman; Dhruv Shah; Fei Xia 002; Jasmine Hsu; et al. (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

The Design of the Barkour Benchmark for Robot Agility. - Wenhao Yu 003; Ken Caluwaerts; Atil Iscen; J. Chase Kew; Tingnan Zhang; Daniel Freeman; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; Federico Casarini; et al. (IROS, 2024)

LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. - Changyi Lin; Xingyu Liu 001; Yuxiang Yang 007; Yaru Niu; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Byron Boots; Ding Zhao (IROS, 2024)

CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments. - Adarsh Jagan Sathyamoorthy; Kasun Weerakoon; Mohamed Elnoor; Anuj Zore; Brian Ichter; Fei Xia 002; Jie Tan 001; Wenhao Yu 003; Dinesh Manocha (IROS, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Maria Attarian; Maria Bauzá Villalonga; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Fu; Nimrod Gileadi; Marissa Giustina; et al. (Robotics: Science and Systems, 2024)

Learning to Learn Faster from Human Feedback with Language Model Predictive Control. - Jacky Liang; Fei Xia 002; Wenhao Yu 003; Andy Zeng 001; Montserrat Gonzalez Arenas; Maria Attarian; Maria Bauzá 001; Matthew Bennice; Alex Bewley; Adil Dostmohamed; Chuyuan Kelly Fu; Nimrod Gileadi; et al. (CoRR, 2024)

Gameplay Filters: Safe Robot Walking through Adversarial Imagination. - Duy Phuong Nguyen; Kai-Chieh Hsu; Wenhao Yu 003; Jie Tan 001; Jaime F. Fisac (CoRR, 2024)

Agile Continuous Jumping in Discontinuous Terrains. - Yuxiang Yang 007; Guanya Shi; Changyi Lin; Xiangyun Meng; Rosario Scalise; Mateo Guaman Castro; Wenhao Yu 003; Tingnan Zhang; Ding Zhao; Jie Tan 001; Byron Boots (CoRR, 2024)

IPPON: Common Sense Guided Informative Path Planning for Object Goal Navigation. - Kaixian Qu; Jie Tan 001; Tingnan Zhang; Fei Xia 002; Cesar Dario Cadena Lerma; Marco Hutter 001 (CoRR, 2024)

Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing. - Yuming Feng; Chuye Hong; Yaru Niu; Shiqi Liu 005; Yuxiang Yang 007; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Ding Zhao (CoRR, 2024)

Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning. - Ramij Raja Hossain; Tianzhixi Yin; Yan Du; Renke Huang; Jie Tan 001; Wenhao Yu 003; Yuan Liu 023; Qiuhua Huang (Mach. Learn., 2024)

IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors Without Any Outdoor Experience. - Joanne Truong; April Zitkovich; Sonia Chernova; Dhruv Batra; Tingnan Zhang; Jie Tan 001; Wenhao Yu 003 (IEEE Robotics Autom. Lett., 2024)

A2Perf: Real-World Autonomous Agents Benchmark. - Ikechukwu Uchendu; Jason Jabbour; Korneel Van den Berghe; Joel Runevic; Matthew Stewart; Jeffrey Ma; Srivatsan Krishnan; Izzeddin Gur; Austin Huang; Colton Bishop; Paige Bailey; Wenjie Jiang 001; et al. (CoRR, 2025)

QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment. - Yuyou Zhang; Yihang Yao; Shiqi Liu; Yaru Niu; Changyi Lin; Yuxiang Yang; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Ding Zhao (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models. - Chen Wang 053; Fei Xia 002; Wenhao Yu 003; Tingnan Zhang; Ruohan Zhang; C. Karen Liu; Li Fei-Fei 001; Jie Tan 001; Jacky Liang (CoRR, 2025)

LocoTouch: Learning Dexterous Quadrupedal Transport with Tactile Sensing. - Changyi Lin; Yuxin Ray Song; Boda Huo; Mingyang Yu; Yikai Wang; Shiqi Liu; Yuxiang Yang; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Yiyue Luo; Ding Zhao (CoRR, 2025)

Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining. - Yaru Niu; Yunzhe Zhang; Mingyang Yu; Changyi Lin; Chenhao Li; Yikai Wang; Yuxiang Yang 007; Wenhao Yu 003; Tingnan Zhang; Bingqing Chen; Jonathan Francis; Zhenzhen Li; et al. (CoRR, 2025)

Autonomous Mario Kart in the Wild: Lessons Learned From the Earth Rover Challenge at IROS 2024 [Competitions]. - Xuesu Xiao; Jie Tan 001; Michael Cho; David Hsu; Dhruv Shah; Joanne Truong; Ted Xiao; Naoki Yokoyama; Wenhao Yu 003; Tingnan Zhang; Zhuo Xu; Santiago Pravisani; et al. (IEEE Robotics Autom. Mag., 2025)

Predicting Human Perceptions of Robot Performance during Navigation Tasks. - Qiping Zhang; Nathan Tsoi; Mofeed Nagib; Booyeon Choi; Jie Tan 001; Hao-Tien Lewis Chiang; Marynel Vázquez (ACM Trans. Hum. Robot Interact., 2025)