Yan Ding

Orcid: 0000-0002-7949-4351

Affiliations:
  • Shanghai AI Laboratory, Shanghai, China
  • State University of New York at Binghamton, Department of Computer Science, Binghamton, NY, USA (PhD 2024)
  • Chongqing University, College of Computer Science, Chongqing, China


According to our database1, Yan Ding authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
MoMa-Pos: Where Should Mobile Manipulators Stand in Cluttered Environment Before Task Execution?
CoRR, 2024

A Decision Framework for AR, Dialogue and Eye Gaze to Enhance Human-Robot Collaboration.
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.
Auton. Robots, December, 2023

ORLA*: Mobile Manipulator-Based Object Rearrangement with Lazy A.
CoRR, 2023

ARDIE: AR, Dialogue, and Eye Gaze Policies for Human-Robot Collaboration.
CoRR, 2023

Grounding Classical Task Planners via Vision-Language Models.
CoRR, 2023

Learning to reason about contextual knowledge for planning under uncertainty.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Task and Motion Planning with Large Language Models for Object Rearrangement.
IROS, 2023

Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning.
IROS, 2023

Embodied Visual Navigation for Grasping.
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.
IEEE Trans. Mob. Comput., 2022

Learning to Ground Objects for Robot Task and Motion Planning.
IEEE Robotics Autom. Lett., 2022

GLAD: Grounded Layered Autonomous Driving for Complex Service Tasks.
CoRR, 2022

Robot Task Planning and Situation Handling in Open Worlds.
CoRR, 2022

Visually Grounded Task and Motion Planning for Mobile Manipulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Task and Situation Structures for Service Agent Planning.
CoRR, 2021

Task and Situation Structures for Case-Based Planning.
Proceedings of the Case-Based Reasoning Research and Development, 2021

2020
DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework.
IEEE Trans. Veh. Technol., 2020

TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change.
IEEE Trans. Intell. Transp. Syst., 2020

VTracer: When Online Vehicle Trajectory Compression Meets Mobile Edge Computing.
IEEE Syst. J., 2020

Task-Motion Planning for Safe and Efficient Urban Driving.
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.
IEEE Access, 2019

2018
A three-stage online map-matching algorithm by fully using vehicle heading direction.
J. Ambient Intell. Humaniz. Comput., 2018

An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles.
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

Fuel Consumption Estimation of Potential Driving Paths by Leveraging Online Route APIs.
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.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017


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