Zifan Xu

According to our database, Zifan Xu authored at least 36 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

VOFA: Visual Object Goal Pushing with Force-Adaptive Control for Humanoids.

Zichao Hu, Zifan Xu, Dongsik Chang, He Yin, Linh Tran, Roberto Martín-Martín, Peter Stone, Jingyu Qiao, Joydeep Biswas

CoRR, May, 2026

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Fourth BARN Challenge at ICRA 2025.

Xuesu Xiao, Zifan Xu, Saad Abdul Ghani, Aniket Datar, Daeun Song, Peter Stone, Amna Mazen, Kamyab Yazdipaz, Innocent Mateyaunga, Mariam Faied, Mohan Krishnan, Yuanjie Lu, Tong Xu, Nicholas Mohammad, Woosung Kim, Jonathan Reasoner, Rohan Chandra, Nicola Bezzo

IEEE Robotics Autom. Mag., March, 2026

ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors.

Zifan Xu, Ran Gong, Maria Vittoria Minniti, Ahmet Salih Gundogdu, Eric Rosen, Kausik Sivakumar, Riedana Yan, Zixing Wang, Di Deng, Peter Stone, Xiaohan Zhang, Karl Schmeckpeper

CoRR, March, 2026

BEAGLE: Behavior-Enforced Agent for Grounded Learner Emulation.

Hanchen David Wang, Clayton Cohn, Zifan Xu, Siyuan Guo, Gautam Biswas, Meiyi Ma

CoRR, February, 2026

Entropy-Guided k-Guard Sampling for Long-Horizon Autoregressive Video Generation.

Yizhao Han, Tianxing Shi, Zhao Wang, Zifan Xu, Zhiyuan Pu, Mingxiao Li, Qian Zhang, Wei Yin, Xiao-Xiao Long

CoRR, January, 2026

Minimum-Length Conformal Prediction Sets for Ordinal Classification.

Zijian Zhang, Xinyu Chen, Yuanjie Shi, Liyuan Lillian Ma, Zifan Xu, Yan Yan

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All.

Zifan Xu, Kristen Procko, Michael J. Munje, Kristin Patterson, Lea Sabatini, Joydeep Biswas, Peter Stone

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input.

Zifan Xu, Myoungkyu Seo, Dongmyeong Lee, Hao Fu, Jiaheng Hu, Jiaxun Cui, Yuqian Jiang, Zhihan Wang, Anastasiia Brund, Joydeep Biswas, Peter Stone

CoRR, December, 2025

Provably Minimum-Length Conformal Prediction Sets for Ordinal Classification.

Zijian Zhang, Xinyu Chen, Yuanjie Shi, Liyuan Lillian Ma, Zifan Xu, Yan Yan

CoRR, November, 2025

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks.

Viraj Joshi, Zifan Xu, Bo Liu, Peter Stone, Amy Zhang

CoRR, July, 2025

GACL: Grounded Adaptive Curriculum Learning with Active Task and Performance Monitoring.

Linji Wang, Zifan Xu, Peter Stone, Xuesu Xiao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

The Essentials of AI for Life and Society: An AI Literacy Course for the University Community.

Joydeep Biswas, Don Fussell, Peter Stone, Kristin Patterson, Kristen Procko, Lea Sabatini, Zifan Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Third BARN Challenge at ICRA 2024 [Competitions].

Xuesu Xiao, Zifan Xu, Aniket Datar, Garrett Warnell, Peter Stone, Joshua Julian Damanik, Jaewon Jung, Chala Adane Deresa, Than Duc Huy, Chen Jinyu, Chen Yichen, Joshua Adrian Cahyono, Jingda Wu, Longfei Mo, Mingyang Lv, Bowen Lan, Qingyang Meng, Weizhi Tao, Li Cheng

IEEE Robotics Autom. Mag., September, 2024

Grounded Curriculum Learning.

Linji Wang, Zifan Xu, Peter Stone, Xuesu Xiao

CoRR, 2024

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024.

Xuesu Xiao, Zifan Xu, Aniket Datar, Garrett Warnell, Peter Stone, Joshua Julian Damanik, Jaewon Jung, Chala Adane Deresa, Than Duc Huy, Chen Jinyu, Chen Yichen, Joshua Adrian Cahyono, Jingda Wu, Longfei Mo, Mingyang Lv, Bowen Lan, Qingyang Meng, Weizhi Tao, Li Cheng

CoRR, 2024

Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning.

Zifan Xu, Amir Hossain Raj, Xuesu Xiao, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks.

Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning.

Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Xian Wu, Peter Stone, Yanjun Qi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions].

Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, Rômulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, José Luis Blanco-Claraco, Shravan Somashekara Rai

IEEE Robotics Autom. Mag., December, 2023

An Enhanced EEG Microstate Recognition Framework Based on Deep Neural Networks: An Application to Parkinson's Disease.

Chunguang Chu, Zhen Zhang, Zhenxi Song, Zifan Xu, Jiang Wang, Fei Wang, Wei Liu, Liying Lu, Chen Liu, Xiaodong Zhu, Chris Fietkiewicz, Kenneth A. Loparo

IEEE J. Biomed. Health Informatics, March, 2023

A domain-agnostic approach for characterization of lifelong learning systems.

Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik G. Learned-Miller, Seungwon Lee, Michael Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

Neural Networks, March, 2023

Latent Skill Discovery for Chain-of-Thought Reasoning.

Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Peter Stone, Yanjun Qi

CoRR, 2023

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023.

Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, Rômulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, José Luis Blanco-Claraco, Shravan Somashekara Rai

CoRR, 2023

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation.

Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Dataset for Foreground Speech Analysis With Smartwatches In Everyday Home Environments.

Dawei Liang, Zifan Xu, Yinuo Chen, Rebecca Adaimi, David Harwath, Edison Thomaz

Proceedings of the IEEE International Conference on Acoustics, 2023

Model-Based Meta Automatic Curriculum Learning.

Zifan Xu, Yulin Zhang, Shahaf S. Shperberg, Reuth Mirsky, Yuqian Jiang, Bo Liu, Peter Stone

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

APPL: Adaptive Planner Parameter Learning.

Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone

Robotics Auton. Syst., 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions].

Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames

IEEE Robotics Autom. Mag., 2022

Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis.

Zifan Xu, Anirudh Nair, Xuesu Xiao, Peter Stone

CoRR, 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022.

Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames

CoRR, 2022

Automated detection of foreground speech with wearable sensing in everyday home environments: A transfer learning approach.

Dawei Liang, Zifan Xu, Yinuo Chen, Rebecca Adaimi, David Harwath, Edison Thomaz

CoRR, 2022

DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments.

Anirudh Nair, Fulin Jiang, Kang Hou, Zifan Xu, Shuozhe Li, Xuesu Xiao, Peter Stone

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

Causal Dynamics Learning for Task-Independent State Abstraction.

Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone

Proceedings of the International Conference on Machine Learning, 2022

2021

Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning.

Zifan Xu, Xuesu Xiao, Garrett Warnell, Anirudh Nair, Peter Stone

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2021

A Scavenger Hunt for Service Robots.

Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

APPLR: Adaptive Planner Parameter Learning from Reinforcement.

Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2021