8 papers
LoopVLA: cross-subtask event memory for looped task execution
Shoujing Zhu, Zhenyang Liu, Fungmiu Wang +6
Repetitive tasks are common in real-world manipulation, yet current vision-language-action (VLA) policies remain unreliable for repeated actions. We present LoopVLA, a cross-subtas…
MindVoice: Reconstructing Intelligible Speech from Non-invasive Neural Signals with Pretrained Priors
Guangyin Bao, Taiping Zeng, Jianfeng Feng +1
Reconstructing continuous speech from non-invasive neural recordings is a fundamental problem for probing human auditory perception and building safe, scalable speech brain-compute…
DetAny4D: Detect Anything 4D Temporally in a Streaming RGB Video
Jiawei Hou, Shenghao Zhang, Can Wang +5
Reliable 4D object detection, which refers to 3D object detection in streaming video, is crucial for perceiving and understanding the real world. Existing open-set 4D object detect…
EEG-fused Digital Twin Brain for Autonomous Driving in Virtual Scenarios
Yubo Hou, Zhengxin Zhang, Ziyi Wang +3
Current methodologies typically integrate biophysical brain models with functional magnetic resonance imaging(fMRI) data - while offering millimeter-scale spatial resolution (0.5-2…
Dynamic Manifold Hopfield Networks for Context-Dependent Associative Memory
Chong Li, Taiping Zeng, Xiangyang Xue +1
Neural population activity in cortical and hippocampal circuits can be flexibly reorganized by context, suggesting that cognition relies on dynamic manifolds rather than static rep…
Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments
Jiawei Hou, Xiangyang Xue, Taiping Zeng
Autonomous operation of service robotics in human-centric scenes remains challenging due to the need for understanding of changing environments and context-aware decision-making. W…
Towards a Vision-Language Episodic Memory Framework: Large-scale Pretrained Model-Augmented Hippocampal Attractor Dynamics
Chong Li, Taiping Zeng, Xiangyang Xue +1
Modeling episodic memory (EM) remains a significant challenge in both neuroscience and AI, with existing models either lacking interpretability or struggling with practical applica…
LOG-Nav: Efficient Layout-Aware Object-Goal Navigation with Hierarchical Planning
Jiawei Hou, Yuting Xiao, Xiangyang Xue +1
We introduce LOG-Nav, an efficient layout-aware object-goal navigation approach designed for complex multi-room indoor environments. By planning hierarchically leveraging a global…