Xiaohan Zhang

According to our database, Xiaohan Zhang authored at least 24 papers between 2020 and 2026.

Collaborative distances:

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

2026

ZeroBot: Learning From Scratch in Minutes With Generative Real2Sim.

Ivan Kapelyukh, Xiaohan Zhang, Stephen James, Laura Herlant, Edward Johns

IEEE Robotics Autom. Lett., April, 2026

Robot Planning and Situation Handling with Active Perception.

Austine Oloo, Zainab Altaweel, Yohei Hayamizu, Peiqi Liu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Chris Paxton, Xiaohan Zhang, Shiqi Zhang

CoRR, April, 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

You've Got a Golden Ticket: Improving Generative Robot Policies With A Single Noise Vector.

Omkar Patil, Ondrej Biza, Thomas Weng, Karl Schmeckpeper, Wil Thomason, Xiaohan Zhang, Robin Walters, Nakul Gopalan, Sebastian Castro, Eric Rosen

CoRR, March, 2026

2025

AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning.

Ran Gong, Xiaohan Zhang, Jinghuan Shang, Maria Vittoria Minniti, Jigarkumar Patel, Valerio Pepe, Riedana Yan, Ahmet Gundogdu, Ivan Kapelyukh, Ali Abbas, Xiaoqiang Yan, Harsh Patel, Laura Herlant, Karl Schmeckpeper

CoRR, December, 2025

LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models.

Xiaohan Zhang, Yan Ding, Yohei Hayamizu, Zainab Altaweel, Yifeng Zhu, Yuke Zhu, Peter Stone, Chris Paxton, Shiqi Zhang

CoRR, November, 2025

Data-Efficient Multitask DAgger.

Haotian Fu, Ran Gong, Xiaohan Zhang, Maria Vittoria Minniti, Jigarkumar Patel, Karl Schmeckpeper

CoRR, September, 2025

2024

DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning.

Xiaohan Zhang, Zainab Altaweel, Yohei Hayamizu, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang

CoRR, 2024

OpenEQA: Embodied Question Answering in the Era of Foundation Models.

Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Integrating action knowledge and LLMs for task planning and situation handling in open worlds.

Yan Ding, Xiaohan Zhang, Saeid Amiri, Nieqing Cao, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang

Auton. Robots, December, 2023

Multimodal embodied attribute learning by robots for object-centric action policies.

Xiaohan Zhang, Saeid Amiri, Jivko Sinapov, Jesse Thomason, Peter Stone, Shiqi Zhang

Auton. Robots, June, 2023

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Bo Liu, Yuqian Jiang, Xiaohan Zhang, Qiang Liu, Shiqi Zhang, Joydeep Biswas, Peter Stone

CoRR, 2023

Grounding Classical Task Planners via Vision-Language Models.

Xiaohan Zhang, Yan Ding, Saeid Amiri, Hao Yang, Andy Kaminski, Chad Esselink, Shiqi Zhang

CoRR, 2023

Task and Motion Planning with Large Language Models for Object Rearrangement.

Yan Ding, Xiaohan Zhang, Chris Paxton, Shiqi Zhang

IROS, 2023

Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning.

Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuqian Jiang, Yuke Zhu, Peter Stone, Shiqi Zhang

IROS, 2023

SLAP: Spatial-Language Attention Policies.

Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton

Proceedings of the Conference on Robot Learning, 2023

2022

Learning to Ground Objects for Robot Task and Motion Planning.

Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang

IEEE Robotics Autom. Lett., 2022

GLAD: Grounded Layered Autonomous Driving for Complex Service Tasks.

Yan Ding, Cheng Cui, Xiaohan Zhang, Shiqi Zhang

CoRR, 2022

Robot Task Planning and Situation Handling in Open Worlds.

Yan Ding, Xiaohan Zhang, Saeid Amiri, Nieqing Cao, Hao Yang, Chad Esselink, Shiqi Zhang

CoRR, 2022

Visually Grounded Task and Motion Planning for Mobile Manipulation.

Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi Zhang

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Learning to Guide Human Attention on Mobile Telepresence Robots with 360 degree Vision.

Kishan Chandan, Jack Albertson, Xiaohan Zhang, Xiaoyang Zhang, Yao Liu, Shiqi Zhang

CoRR, 2021

Planning Multimodal Exploratory Actions for Online Robot Attribute Learning.

Xiaohan Zhang, Jivko Sinapov, Shiqi Zhang

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Learning to Guide Human Attention on Mobile Telepresence Robots with 360° Vision.

Kishan Chandan, Jack Albertson, Xiaohan Zhang, Xiaoyang Zhang, Yao Liu, Shiqi Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Task-Motion Planning for Safe and Efficient Urban Driving.

Yan Ding, Xiaohan Zhang, Xingyue Zhan, Shiqi Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020