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NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning

NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning

11 March 2024
Ruihua Han
Shuai Wang
Shuaijun Wang
Zeqing Zhang
Jianjun Chen
Shijie Lin
Chengyang Li
Chengzhong Xu
Yonina C. Eldar
Qi Hao
Jia Pan
    3DPC
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Papers citing "NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning"

8 / 8 papers shown
Title
Follow Everything: A Leader-Following and Obstacle Avoidance Framework with Goal-Aware Adaptation
Follow Everything: A Leader-Following and Obstacle Avoidance Framework with Goal-Aware Adaptation
Qianyi Zhang
Shijian Ma
Boyi Liu
J. H. Liu
Jianhao Jiao
30
0
0
28 Apr 2025
Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization
Opportunistic Collaborative Planning with Large Vision Model Guided Control and Joint Query-Service Optimization
Jiayi Chen
Shuai Wang
Guoliang Li
Wei Xu
Guangxu Zhu
Derrick Wing Kwan Ng
Chengzhong Xu
46
0
0
25 Apr 2025
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost
  Whole-Body Teleoperation
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
Zipeng Fu
Tony Zhao
Chelsea Finn
100
281
0
04 Jan 2024
RDA: An Accelerated Collision Free Motion Planner for Autonomous
  Navigation in Cluttered Environments
RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments
Ruihua Han
Shuai Wang
Shuaijun Wang
Zeqing Zhang
Qianru Zhang
Yonina C. Eldar
Qi Hao
Jia Pan
23
27
0
01 Oct 2022
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast,
  Near-Optimal Planning under Kinodynamic Constraints
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints
Linjun Li
Yinglong Miao
A. H. Qureshi
Michael C. Yip
36
45
0
17 Jan 2021
Motion Planning Among Dynamic, Decision-Making Agents with Deep
  Reinforcement Learning
Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
130
505
0
04 May 2018
Information Theoretic Model Predictive Control: Theory and Applications
  to Autonomous Driving
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
74
198
0
07 Jul 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep
  Reinforcement Learning
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
Yu Fan Chen
Miao Liu
Michael Everett
Jonathan P. How
173
582
0
26 Sep 2016
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