Jie Peng

According to our database, Jie Peng authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

Profiling Power Consumption in Low-Speed Autonomous Guided Vehicles.

Jiaming Leng, Jie Peng, Jie Liu, Yu Zhang, Jianmin Ji, Yanyong Zhang

IEEE Robotics Autom. Lett., July, 2024

MHRC: Closed-loop Decentralized Multi-Heterogeneous Robot Collaboration with Large Language Models.

Wenhao Yu, Jie Peng, Yueliang Ying, Sai Li, Jianmin Ji, Yanyong Zhang

CoRR, 2024

Rotation Initialization and Stepwise Refinement for Universal LiDAR Calibration.

Yifan Duan, Xinran Zhang, Guoliang You, Yilong Wu, Xingchen Li, Yao Li, Xiaomeng Chu, Jie Peng, Yu Zhang, Jianmin Ji, Yanyong Zhang

CoRR, 2024

LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance.

Wenhao Yu, Jie Peng, Huanyu Yang, Junrui Zhang, Yifan Duan, Jianmin Ji, Yanyong Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning.

Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network.

Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments.

Yu'an Chen, Quecheng Qiu, Xiangyu Liu, Guangda Chen, Shunyi Yao, Jie Peng, Jianmin Ji, Yanyong Zhang

CoRR, 2023

A²CoST: An ASP-based Avoidable Collision Scenario Testbench for Autonomous Vehicles.

Ruolin Wang, Yuejiao Xu, Jie Peng, Jianmin Ji

Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, 2023

Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model.

Yu'an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Jianmin Ji, Yanyong Zhang

IROS, 2023

P³O: Transferring Visual Representations for Reinforcement Learning via Prompting.

Guoliang You, Xiaomeng Chu, Yifan Duan, Jie Peng, Jianmin Ji, Yu Zhang, Yanyong Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

TLP: A Deep Learning-Based Cost Model for Tensor Program Tuning.

Yi Zhai, Yu Zhang, Shuo Liu, Xiaomeng Chu, Jie Peng, Jianmin Ji, Yanyong Zhang

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM.

Yifan Duan, Jie Peng, Yu Zhang, Jianmin Ji, Yanyong Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Reinforcement Learning for Robot Navigation with Adaptive ExecutionDuration (AED) in a Semi-Markov Model.

Yu'an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Yanyong Zhang, Jianmin Ji

CoRR, 2021

Towards an Online RRT-based Path Planning Algorithm for Ackermann-steering Vehicles.

Jie Peng, Yu'an Chen, Yifan Duan, Yu Zhang, Jianmin Ji, Yanyong Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021