Yan Ding (丁琰)
Yan Ding (丁琰)
Ph.D. Student, SUNY at Binghamton
Verified email at - Homepage
Cited by
Cited by
TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change
C Chen, Y Ding, X Xie, S Zhang, Z Wang, L Feng
IEEE Transactions on Intelligent Transportation Systems 21 (5), 2012-2028, 2019
Task and motion planning with large language models for object rearrangement
Y Ding, X Zhang, C Paxton, S Zhang
IROS 2023, 2023
Greenplanner: Planning personalized fuel-efficient driving routes using multi-sourced urban data
Y Ding, C Chen, S Zhang, B Guo, Z Yu, Y Wang
2017 IEEE International Conference on Pervasive Computing and Communications …, 2017
VTracer: When online vehicle trajectory compression meets mobile edge computing
C Chen, Y Ding, Z Wang, J Zhao, B Guo, D Zhang
IEEE Systems Journal 14 (2), 1635-1646, 2019
A hierarchical energy management strategy based on model predictive control for plug-in hybrid electric vehicles
Y Zhang, L Chu, YAN Ding, NAN Xu, C Guo, Z Fu, L Xu, X Tang, Y Liu
Ieee Access 7, 81612-81629, 2019
A three-stage online map-matching algorithm by fully using vehicle heading direction
C Chen, Y Ding, X Xie, S Zhang
Journal of Ambient Intelligence and Humanized Computing 9, 1623-1633, 2018
A force-directed approach to seeking route recommendation in ride-on-demand service using multi-source urban data
S Guo, C Chen, J Wang, Y Ding, Y Liu, K Xu, Z Yu, D Zhang
IEEE Transactions on Mobile Computing 21 (6), 1909-1926, 2020
Visually grounded task and motion planning for mobile manipulation
X Zhang, Y Zhu, Y Ding, Y Zhu, P Stone, S Zhang
2022 International Conference on Robotics and Automation (ICRA), 1925-1931, 2022
Task-Motion Planning for Safe and Efficient Urban Driving
Y Ding, X Zhang, X Zhan, S Zhang
IROS 2020, 2020
Robot task planning and situation handling in open worlds
Y Ding, X Zhang, S Amiri, N Cao, H Yang, C Esselink, S Zhang
arXiv preprint arXiv:2210.01287, 2022
Davt: an error-bounded vehicle trajectory data representation and compression framework
C Chen, Y Ding, S Guo, Y Wang
IEEE Transactions on Vehicular Technology 69 (10), 10606-10618, 2020
Grounding Classical Task Planners via Vision-Language Models
X Zhang, Y Ding, S Amiri, H Yang, A Kaminski, C Esselink, S Zhang
arXiv preprint arXiv:2304.08587, 2023
Leveraging Commonsense Knowledge from Large Language Models for Task and Motion Planning
Y Ding, X Zhang, C Paxton, S Zhang
RSS-23 LTAMP, 2023
Learning to ground objects for robot task and motion planning
Y Ding, X Zhang, X Zhan, S Zhang
IEEE Robotics and Automation Letters 7 (2), 5536-5543, 2022
Integrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds
Y Ding, X Zhang, S Amiri, N Cao, H Yang, A Kaminski, C Esselink, ...
arXiv preprint arXiv:2305.17590, 2023
GLAD: Grounded Layered Autonomous Driving for Complex Service Tasks
Y Ding, C Cui, X Zhang, S Zhang
arXiv preprint arXiv:2210.02302, 2022
An online trajectory compression system applied to resource-constrained gps devices in vehicles
Y Ding, C Chen, X Xie, K Liu, L Feng
2018 15th Annual IEEE International Conference on Sensing, Communication …, 2018
ARDIE: AR, Dialogue, and Eye Gaze Policies for Human-Robot Collaboration
C Zou, K Chandan, Y Ding, S Zhang
arXiv preprint arXiv:2305.04685, 2023
Task-Motion Planning for Safe and Efficient Urban Driving
S Zhang, Y Ding
US Patent App. 17/687,636, 2022
Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing
K Ye, P Dai, X Wu, Y Ding, H Xing, Z Yu
Sensors 19 (16), 3547, 2019
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