activity
20202026
most citedMotion Planning for Autonomous Driving: The State of the Art and Future Perspectives

583 citations · 1.4k across the 9 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.RO2026

Human Behavior-Informed Crash Scenario Generation with Real-World Crash Priors for Autonomous Vehicle Safety Evaluation

Mingxing Peng, Xusen Guo, Long Chen +3

Reliable safety evaluation of autonomous vehicles (AVs) is essential to improving road safety, yet it depends critically on realistic simulation of rare crashes. Existing crash sce…

cs.RO2026

OpenSpace Lab Solution to the IROS 2026 Indoor Exploration Competition

Yuxuan Zhang, Dong Li, Zezhou Sun +5

This report presents the \textbf{OpenSpace Lab}'s solution to the Competition on Intelligent Information Gathering for Single and Multi-Robot Systems Workshops, organized as part o…

cs.RO2026

SpikeVLA: Vision-Language-Action Models with Spiking Neural Networks

Ruiqi Song, Dujun Nie, Siyu Teng +7

Vision-Language-Action (VLA) models have become a dominant paradigm for embodied intelligence. However, most existing approaches are built on large-scale transformers, resulting in…

cs.RO2026

He3-Seeker: Robotic Information Planning for Lunar Helium-3 Distribution Mapping

Dong Li, Yujie Zheng, Chengdeng Cao +4

Lunar helium-3 is a highly valuable strategic resource, pivotal to the advancement of both deep-space exploration and space mining. Existing lunar helium-3 exploration methodologie…

cs.RO2026

TSC: Topology-Conditioned Stackelberg Coordination for Multi-Agent Reinforcement Learning in Interactive Driving

Xiaotong Zhang, Gang Xiong, Yuanjing Wang +3

Safe and efficient autonomous driving in dense traffic is fundamentally a decentralized multi-agent coordination problem, where interactions at conflict points such as merging and…