3 papers
cs.RO2026
AnyScene: Towards Highly Controllable Driving Scene Generation at Anywhere and Beyond
Haiming Zhang, Junfei Zhou, Feng Jiang +6
Generating high-fidelity and controllable synthetic data is critical for advancing end-to-end autonomous driving, particularly for addressing the long tail of rare safety-critical…
cs.CV2026
SparseWorld-TC: Trajectory-Conditioned Sparse Occupancy World Model
Jiayuan Du, Yiming Zhao, Zhenglong Guo +5
This paper introduces a novel architecture for trajectory-conditioned forecasting of future 3D scene occupancy. In contrast to methods that rely on variational autoencoders (VAEs)…
cs.RO2025
MaP-AVR: A Meta-Action Planner for Agents Leveraging Vision Language Models and Retrieval-Augmented Generation
Zhenglong Guo, Yiming Zhao, Feng Jiang +4
Embodied robotic AI systems designed to manage complex daily tasks rely on a task planner to understand and decompose high-level tasks. While most research focuses on enhancing the…