5 papers
A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous Driving
Jingtao Sun, Xiaohai He, Yike Zhang +4
Vision-Language-Action (VLA) models have emerged as a powerful paradigm for end-to-end autonomous driving by jointly integrating perception, reasoning, and decision making within a…
CRAFT: Adapting VLA Models to Contact-rich Manipulation via Force-aware Curriculum Fine-tuning
Yike Zhang, Yaonan Wang, Xinxin Sun +6
Vision-Language-Action (VLA) models have shown a strong capability in enabling robots to execute general instructions, yet they struggle with contact-rich manipulation tasks, where…
Noise-Resistant Feature-Aware Attack Detection Using Quantum Machine Learning
Chao Ding, Shi Wang, Jingtao Sun +3
Continuous-variable quantum key distribution (CV-QKD) is a quantum communication technology that offers an unconditional security guarantee. However, the practical deployment of CV…
Diffusion-Driven Self-Supervised Learning for Shape Reconstruction and Pose Estimation
Jingtao Sun, Yaonan Wang, Mingtao Feng +3
Fully-supervised category-level pose estimation aims to determine the 6-DoF poses of unseen instances from known categories, requiring expensive mannual labeling costs. Recently, v…
Towards Real-World Aerial Vision Guidance with Categorical 6D Pose Tracker
Jingtao Sun, Yaonan Wang, Danwei Wang
Tracking the object 6-DoF pose is crucial for various downstream robot tasks and real-world applications. In this paper, we investigate the real-world robot task of aerial vision g…