From the 1 of 5 linked papers with an AI index.
5 papers
ReTouch: Empowering Contact-Rich Dexterous Manipulation with Online-Refined Tactile Prediction
Shiqi Zhang, Xin Zhang, Yedong Shen +9
Fusing tactile signals has proven effective for contact-rich manipulation, enabling robots to perceive contact states and adapt to rapidly changing physical interactions. Yet effec…
ViCo3D: Empowering LiDAR-based Collaborative 3D Object Detection with Vision Foundation Models
Haojie Ren, Songrui Luo, Lingfeng Wang +6
The paper introduces ViCo3D, a framework that leverages vision foundation models to enrich LiDAR bird's-eye-view features for collaborative 3D object detection in V2X scenarios, ac…
CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks
Beibei Wang, Zijian Yu, Lu Zhang +8
Numerous roadside perception datasets have been introduced to propel advancements in autonomous driving and intelligent transportation systems research and development. However, it…
FAVLA: A Force-Adaptive Fast-Slow VLA model for Contact-Rich Robotic Manipulation
Yao Li, Peiyuan Tang, Wuyang Zhang +7
Force/torque feedback can substantially improve Vision-Language-Action (VLA) models on contact-rich manipulation, but most existing approaches fuse all modalities at a single opera…
Perception Helps Planning: Facilitating Multi-Stage Lane-Level Integration via Double-Edge Structures
Guoliang You, Xiaomeng Chu, Yifan Duan +6
When planning for autonomous driving, it is crucial to consider essential traffic elements such as lanes, intersections, traffic regulations, and dynamic agents. However, they are…