2 citations · 2 across the 4 of their papers we have counts for
4 papers
TaskAnchor: Grounding Task State in Reactive VLAs for Long-Horizon Manipulation
Hengyan Liu, Wenlve Zhou, Bo Yue +7
Reactive vision-language-action (VLA) policies suffer from task-state aliasing in long-horizon manipulation, where identical multimodal inputs call for distinct, context-dependent…
Dexterity-BEV: Aligning 3D World and Actions for Generalizable Robot Policies Learning
Huayi Zhou, Wei Gao, Dekun Lu +12
End-to-end manipulation policies, combined with web-scale pretrained Vision-Language Models (VLMs), show the promise for generalizable and dexterous robotic manipulation. However,…
PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving
Chengran Yuan, Zijian Lu, Zhanqi Zhang +8
End-to-end motion planning is promising for simplifying complex autonomous driving pipelines. However, challenges such as scene understanding and effective prediction for decision-…
DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba
Chengran Yuan, Zhanqi Zhang, Jiawei Sun +8
Motion planning is a challenging task to generate safe and feasible trajectories in highly dynamic and complex environments, forming a core capability for autonomous vehicles. In t…