Task-Motion Planning for Safe and Efficient Urban Driving. - Yan Ding 002; Xiaohan Zhang 002; Xingyue Zhan; Shiqi Zhang 001 (IROS, 2020)

Learning to Guide Human Attention on Mobile Telepresence Robots with 360° Vision. - Kishan Chandan; Jack Albertson; Xiaohan Zhang 002; Xiaoyang Zhang; Yao Liu 001; Shiqi Zhang 001 (IROS, 2021)

Planning Multimodal Exploratory Actions for Online Robot Attribute Learning. - Xiaohan Zhang 002; Jivko Sinapov; Shiqi Zhang 001 (Robotics: Science and Systems, 2021)

Learning to Guide Human Attention on Mobile Telepresence Robots with 360 degree Vision. - Kishan Chandan; Jack Albertson; Xiaohan Zhang 002; Xiaoyang Zhang; Yao Liu 001; Shiqi Zhang 001 (CoRR, 2021)

Visually Grounded Task and Motion Planning for Mobile Manipulation. - Xiaohan Zhang 002; Yifeng Zhu; Yan Ding 002; Yuke Zhu; Peter Stone 001; Shiqi Zhang 001 (ICRA, 2022)

Robot Task Planning and Situation Handling in Open Worlds. - Yan Ding 002; Xiaohan Zhang 002; Saeid Amiri; Nieqing Cao; Hao Yang; Chad Esselink; Shiqi Zhang 001 (CoRR, 2022)

GLAD: Grounded Layered Autonomous Driving for Complex Service Tasks. - Yan Ding 002; Cheng Cui; Xiaohan Zhang 002; Shiqi Zhang 001 (CoRR, 2022)

Learning to Ground Objects for Robot Task and Motion Planning. - Yan Ding 002; Xiaohan Zhang 002; Xingyue Zhan; Shiqi Zhang 001 (IEEE Robotics Autom. Lett., 2022)

SLAP: Spatial-Language Attention Policies. - Priyam Parashar; Vidhi Jain; Xiaohan Zhang 002; Jay Vakil; Sam Powers; Yonatan Bisk; Chris Paxton 001 (CoRL, 2023)

Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning. - Xiaohan Zhang 002; Yifeng Zhu; Yan Ding 002; Yuqian Jiang; Yuke Zhu; Peter Stone 001; Shiqi Zhang 001 (IROS, 2023)

Task and Motion Planning with Large Language Models for Object Rearrangement. - Yan Ding 002; Xiaohan Zhang 002; Chris Paxton 001; Shiqi Zhang 001 (IROS, 2023)

Grounding Classical Task Planners via Vision-Language Models. - Xiaohan Zhang 002; Yan Ding 002; Saeid Amiri; Hao Yang; Andy Kaminski; Chad Esselink; Shiqi Zhang 001 (CoRR, 2023)

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency. - Bo Liu 042; Yuqian Jiang; Xiaohan Zhang 002; Qiang Liu 001; Shiqi Zhang 001; Joydeep Biswas; Peter Stone 001 (CoRR, 2023)

Multimodal embodied attribute learning by robots for object-centric action policies. - Xiaohan Zhang 002; Saeid Amiri; Jivko Sinapov; Jesse Thomason; Peter Stone 001; Shiqi Zhang 001 (Auton. Robots, 2023)

Integrating action knowledge and LLMs for task planning and situation handling in open worlds. - Yan Ding 002; Xiaohan Zhang 002; Saeid Amiri; Nieqing Cao; Hao Yang; Andy Kaminski; Chad Esselink; Shiqi Zhang 001 (Auton. Robots, 2023)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning. - Xiaohan Zhang 002; Zainab Altaweel; Yohei Hayamizu; Yan Ding 002; Saeid Amiri; Hao Yang; Andy Kaminski; Chad Esselink; Shiqi Zhang 001 (CoRR, 2024)