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20232026
most citedImperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy

12 citations · 25 across the 9 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CV2025

Vision-Language Memory for Spatial Reasoning

Zuntao Liu, Yi Du, Taimeng Fu +3

Spatial reasoning is a critical capability for intelligent robots, yet current vision-language models (VLMs) still fall short of human-level performance in video-based spatial reas…

cs.RO2025

Fast Task Planning with Neuro-Symbolic Relaxation

Qiwei Du, Bowen Li, Yi Du +5

Real-world task planning requires long-horizon reasoning over large sets of objects with complex relationships and attributes, leading to a combinatorial explosion for classical sy…

cs.CV2025★ 8 cited

SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization

Yi Du, Zhipeng Zhao, Shaoshu Su +4

Point cloud (PC) processing tasks-such as completion, upsampling, denoising, and colorization-are crucial in applications like autonomous driving and 3D reconstruction. Despite sub…

cs.RO2025★ 1 cited

VL-Nav: Neuro-Symbolic Reasoning-based Vision-Language Navigation

Yi Du, Taimeng Fu, Zhipeng Zhao +6

Navigating unseen, large-scale environments based on complex and abstract human instructions remains a formidable challenge for autonomous mobile robots. Addressing this requires r…

cs.RO2025★ 2 cited

AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation

Taimeng Fu, Zitong Zhan, Zhipeng Zhao +7

Off-road navigation is critical for a wide range of field robotics applications from planetary exploration to disaster response. However, it remains a longstanding challenge due to…