activity
20242026
most citedPhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving

4 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints

Qiwei Du, Zitong Zhan, Shaoshu Su +7

Task planning often suffers from severe efficiency bottlenecks when robots must reason over long-horizon action sequences under complex logical constraints, including object afford…

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.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.CV2024

AirShot: Efficient Few-Shot Detection for Autonomous Exploration

Zihan Wang, Bowen Li, Chen Wang +1

Few-shot object detection has drawn increasing attention in the field of robotic exploration, where robots are required to find unseen objects with a few online provided examples.…

cs.RO2024★ 4 cited

PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving

Zhipeng Zhao, Bowen Li, Yi Du +2

Motion prediction is critical for autonomous off-road driving, however, it presents significantly more challenges than on-road driving because of the complex interaction between th…