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NavFormer: A Transformer Architecture for Robot Target-Driven Navigation
  in Unknown and Dynamic Environments

NavFormer: A Transformer Architecture for Robot Target-Driven Navigation in Unknown and Dynamic Environments

9 February 2024
Haitong Wang
Aaron Hao Tan
G. Nejat
ArXivPDFHTML

Papers citing "NavFormer: A Transformer Architecture for Robot Target-Driven Navigation in Unknown and Dynamic Environments"

4 / 4 papers shown
Title
Enabling Robots to Autonomously Search Dynamic Cluttered Post-Disaster Environments
Enabling Robots to Autonomously Search Dynamic Cluttered Post-Disaster Environments
Karlo Rado
Mirko Baglioni
Anahita Jamshidnejad
20
0
0
06 May 2025
Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model Approach
Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model Approach
A. H. Tan
Angus Fung
Haitong Wang
G. Nejat
71
1
0
31 Jan 2025
Deep Reinforcement Learning for Decentralized Multi-Robot Exploration
  With Macro Actions
Deep Reinforcement Learning for Decentralized Multi-Robot Exploration With Macro Actions
A. H. Tan
Federico Pizarro Bejarano
Yuhan Zhu
Richard Ren
G. Nejat
31
30
0
05 Oct 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
128
505
0
04 May 2018
1