2 citations · 3 across the 4 of their papers we have counts for
6 papers
VOMMI: Collecting and Leveraging Portable Demonstrations for Mobile Manipulation
Yutian Zhang, Xingrui Xiong, Siyuan Ma +12
Portable mobile-manipulation demonstrations can help alleviate data scarcity for embodied intelligence, but obtaining reliable, low-cost, and robot-free motion supervision from RGB…
DreamTrajectory: Trajectory-Guided Action Generation with World Model Alignment for Mobile Manipulation
Zheng Yang, Wenjie Zhang, Xiangyu Chen +9
Mobile manipulation requires a robot to coordinate base and arm motion under continuously changing viewpoints and contact conditions, within an action space far larger than that of…
Rule-VLN: Bridging Perception and Compliance via Semantic Reasoning and Geometric Rectification
Jiawen Wen, Penglei Sun, Wenjie Zhang +4
As embodied AI transitions to real-world deployment, the success of the Vision-and-Language Navigation (VLN) task tends to evolve from mere reachability to social compliance. Howev…
From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving
Xu Han, Xianda Chen, Zhenghan Cai +3
Autonomous driving technology has witnessed rapid advancements, with foundation models improving interactivity and user experiences. However, current autonomous vehicles (AVs) face…
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems
Xianda Chen, Xu Han, Meixin Zhu +4
In the realm of driving technologies, fully autonomous vehicles have not been widely adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing driving exp…
Generating and Evolving Reward Functions for Highway Driving with Large Language Models
Xu Han, Qiannan Yang, Xianda Chen +2
Reinforcement Learning (RL) plays a crucial role in advancing autonomous driving technologies by maximizing reward functions to achieve the optimal policy. However, crafting these…