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- Peking UniversityCN105 papers
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- Peng Cheng LaboratoryCN6 papers
- University of CambridgeGB5 papers
- University of MariborSI5 papers
- Chinese Academy of SciencesCN4 papers
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- Centre National de la Recherche ScientifiqueFR3 papers
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11 papers · 1 filter
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method
Zhanhua Xin, Zhihao Wang, Shenghao Zhang +7
In the field of multi-sensor fusion for simultaneous localization and mapping (SLAM), monocular cameras and IMUs are widely used to build simple and effective visual-inertial syste…
EF-Calib: Spatiotemporal Calibration of Event- and Frame-Based Cameras Using Continuous-Time Trajectories
Shaoan Wang, Zhanhua Xin, Yaoqing Hu +3
Event camera, a bio-inspired asynchronous triggered camera, offers promising prospects for fusion with frame-based cameras owing to its low latency and high dynamic range. However,…
Adaptive Integral Sliding Mode Control for Attitude Tracking of Underwater Robots With Large Range Pitch Variations in Confined Space
Xiaorui Wang, Zeyu Sha, Feitian Zhang
Underwater robots play a crucial role in exploring aquatic environments. The ability to flexibly adjust their attitudes is essential for underwater robots to effectively accomplish…
Data-Driven Dynamics Modeling of Miniature Robotic Blimps Using Neural ODEs With Parameter Auto-Tuning
Yongjian Zhu, Hao Cheng, Feitian Zhang
Miniature robotic blimps, as one type of lighter-than-air aerial vehicles, have attracted increasing attention in the science and engineering community for their enhanced safety, e…
Safe-VLN: Collision Avoidance for Vision-and-Language Navigation of Autonomous Robots Operating in Continuous Environments
Lu Yue, Dongliang Zhou, Liang Xie +3
The task of vision-and-language navigation in continuous environments (VLN-CE) aims at training an autonomous agent to perform low-level actions to navigate through 3D continuous s…
A Transferability Metric Using Scene Similarity and Local Map Observation for DRL Navigation
Shiwei Lian, Feitian Zhang
While deep reinforcement learning (DRL) has attracted a rapidly growing interest in solving the problem of navigation without global maps, DRL typically leads to a mediocre navigat…