5 papers
PrismAD: Decoupled Planning via Semantic Mixture-of-Planners for End-to-End Autonomous Driving
Kang Ding, Zhigui Lin, Hongsong Wang +5
This letter presents PrismAD, a decoupled end-to-end autonomous driving framework based on a Semantic Mixture-of-Planners. Existing planners usually aggregate heterogeneous scene t…
Not All Agents Matter: From Global Attention Dilution to Risk-Prioritized Game Planning
Kang Ding, Hongsong Wang, Jie Gui +1
End-to-end autonomous driving resides not in the integration of perception and planning, but rather in the dynamic multi-agent game within a unified representation space. Most exis…
CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM
Kangjie Zhou, Zhejia Wen, Zhiyong Zhuo +9
Recent Vision-Language Models (VLMs) have demonstrated significant potential in robotic planning. However, they typically function as semantic reasoners, lacking an intrinsic under…
SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer
Kang Ding, Chunxuan Jiao, Yunze Hu +4
Swarm robotic trajectory planning faces challenges in computational efficiency, scalability, and safety, particularly in complex, obstacle-dense environments. To address these issu…
SwarmPRM: Probabilistic Roadmap Motion Planning for Large-Scale Swarm Robotic Systems
Yunze Hu, Xuru Yang, Kangjie Zhou +5
Large-scale swarm robotic systems consisting of numerous cooperative agents show considerable promise for performing autonomous tasks across various sectors. Nonetheless, tradition…