3 papers
cs.AI2026
Learning Intrinsic Dynamics in Latent World Models
Jiamin Shi, Yuanhong Zhang, Zhiyang Liu +2
Learning intrinsic dynamics---the relationship between actions and their consequences---is essential for world models. However, visual variations unrelated to the underlying contro…
cs.CV2026
NTR: Neural Token Reconstruction for Scene Token Bottleneck in End-to-End Driving
Jiahui Li, Jiawei Sun, Zixiang Ren +7
Recent perception-free end-to-end (E2E) autonomous driving methods bypass explicit perception outputs by compressing dense image patch tokens into compact scene tokens for downstre…
cs.RO2026
Optimal-Horizon Social Robot Navigation in Heterogeneous Crowds
Jiamin Shi, Haolin Zhang, Yuchen Yan +3
Navigating social robots in dense, dynamic crowds is challenging due to environmental uncertainty and complex human-robot interactions. While Model Predictive Control (MPC) offers…