Zifan Xu

According to our database, Zifan Xu authored at least 20 papers between 2021 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

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

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

CoRR, 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