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Jiaocheng Hu

2 accepted papers

2025

Towards Efficient Image-goal Navigation: A Self-supervised Transformer-based Reinforcement Learning Approach

IROS 2025

Image-goal navigation is a crucial yet challenging task that requires an agent to navigate to a goal location specified by an image. Modular methods decompose the problem into distinct subtasks and often involve explicit map construction, which can struggle in complex, unstructured environments. In

Cited by 0SourcecodeScholar
2024

A New Representation of Universal Successor Features for Enhancing the Generalization of Target-Driven Visual Navigation

RA-L 2024

Target-driven visual navigation is a long-standing objective in the field of robotics. Deep reinforcement learning methods have demonstrated their effectiveness in developing target-driven visual navigation policies, yet they often struggle with generalization. Although extended reinforcement learni

Cited by 5SourceScholar