Yan Ding

According to our database, Yan Ding authored at least 28 papers between 2017 and 2024.

Collaborative distances:

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

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

A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches.

Zhigen Zhao, Shuo Cheng, Yan Ding, Ziyi Zhou, Shiqi Zhang, Danfei Xu, Ye Zhao

CoRR, 2024

MoMa-Pos: Where Should Mobile Manipulators Stand in Cluttered Environment Before Task Execution?

Beichen Shao, Yan Ding, Xingchen Wang, Xuefeng Xie, Fuqiang Gu, Jun Luo, Chao Chen

CoRR, 2024

A Decision Framework for AR, Dialogue and Eye Gaze to Enhance Human-Robot Collaboration.

Chelsea Zou, Yan Ding, Kishan Chandan, Shiqi Zhang

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 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

ORLA*: Mobile Manipulator-Based Object Rearrangement with Lazy A.

Kai Gao, Yan Ding, Shiqi Zhang, Jingjin Yu

CoRR, 2023

ARDIE: AR, Dialogue, and Eye Gaze Policies for Human-Robot Collaboration.

Chelsea Zou, Kishan Chandan, Yan Ding, Shiqi Zhang

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

Learning to reason about contextual knowledge for planning under uncertainty.

Cheng Cui, Saeid Amiri, Yan Ding, Xingyue Zhan, Shiqi Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 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

Embodied Visual Navigation for Grasping.

Xingchen Wang, Yan Ding, Beichen Shao, Fei Meng, Chao Chen

Proceedings of the 9th International Conference on Communication and Information Processing, 2023

2022

A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data.

Suiming Guo, Chao Chen, Jingyuan Wang, Yan Ding, Yaxiao Liu, Ke Xu, Zhiwen Yu, Daqing Zhang

IEEE Trans. Mob. Comput., 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

Task and Situation Structures for Service Agent Planning.

Hao Yang, Tavan Eftekhar, Chad Esselink, Yan Ding, Shiqi Zhang

CoRR, 2021

Task and Situation Structures for Case-Based Planning.

Hao Yang, Tavan Eftekhar, Chad Esselink, Yan Ding, Shiqi Zhang

Proceedings of the Case-Based Reasoning Research and Development, 2021

2020

DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework.

Chao Chen, Yan Ding, Suiming Guo, Yasha Wang

IEEE Trans. Veh. Technol., 2020

TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change.

Chao Chen, Yan Ding, Xuefeng Xie, Shu Zhang, Zhu Wang, Liang Feng

IEEE Trans. Intell. Transp. Syst., 2020

VTracer: When Online Vehicle Trajectory Compression Meets Mobile Edge Computing.

Chao Chen, Yan Ding, Zhu Wang, Junfeng Zhao, Bin Guo, Daqing Zhang

IEEE Syst. J., 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

2019

A Hierarchical Energy Management Strategy Based on Model Predictive Control for Plug-In Hybrid Electric Vehicles.

Yuanjian Zhang, Liang Chu, Yan Ding, Nan Xu, Chong Guo, Zicheng Fu, Lei Xu, Xin Tang, Yadan Liu

IEEE Access, 2019

2018

A three-stage online map-matching algorithm by fully using vehicle heading direction.

Chao Chen, Yan Ding, Xuefeng Xie, Shu Zhang

J. Ambient Intell. Humaniz. Comput., 2018

An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles.

Yan Ding, Chao Chen, Xuefeng Xie, Kai Liu, Liang Feng

Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

Fuel Consumption Estimation of Potential Driving Paths by Leveraging Online Route APIs.

Yan Ding, Chao Chen, Xuefeng Xie, Zhikai Yang

Proceedings of the Green, Pervasive, and Cloud Computing - 13th International Conference, 2018

2017

GreenPlanner: Planning personalized fuel-efficient driving routes using multi-sourced urban data.

Yan Ding, Chao Chen, Shu Zhang, Bin Guo, Zhiwen Yu, Yasha Wang

Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017