6 papers · 1 filter
WorldToken: Time-First Sequence Modeling for Robotic Imitation Learning
Chunkai Yang, Andong Yang, Chao Gao
Robot policies receive heterogeneous observations at each decision step, yet sequence models differ in how they organize these inputs over time. We introduce WorldToken, a time-fir…
PL-LIT: A LiDAR-Inertial-Thermal SLAM Using Point-Line Features and Thermographic Mapping
Jiawei Xia, Yixiao Feng, Yongliang Shi +4
Thermal imaging is resilient to adverse conditions, such as intense illumination, low-light operation, and fog, and can therefore mitigate odometry degradation when visible-spectru…
AirDreamer: Generalist Drone Navigation with World Models
Zian Liu, Andong Yang, Chunkai Yang +3
Navigating a drone in unseen and cluttered environments requires reliable generalization to unseen scene layouts and understanding of environmental structure relative to the robot'…
A New Trajectory-Oriented Approach to Enhancing Comprehensive Crowd Navigation Performance
Xinyu Zhou, Songhao Piao, Chao Gao +1
Crowd navigation has garnered considerable research interest in recent years, especially with the proliferating application of deep reinforcement learning (DRL) techniques. Many st…
TopoDiffuser: A Diffusion-Based Multimodal Trajectory Prediction Model with Topometric Maps
Zehui Xu, Junhui Wang, Yongliang Shi +2
This paper introduces TopoDiffuser, a diffusion-based framework for multimodal trajectory prediction that incorporates topometric maps to generate accurate, diverse, and road-compl…
OpenBench: A New Benchmark and Baseline for Semantic Navigation in Smart Logistics
Junhui Wang, Dongjie Huo, Zehui Xu +6
The increasing demand for efficient last-mile delivery in smart logistics underscores the role of autonomous robots in enhancing operational efficiency and reducing costs. Traditio…