Xinxing Chen
Huazhong University of Science and Technology
31 Papers
12 Citations
Xinxing Chen is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 3, co-authored 12 publications. Previous affiliations of Xinxing Chen include Southern University of Science and Technology.
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Papers
Odor source localization algorithms on mobile robots: A review and future outlook
Xinxing Chen,Jian Huang +1 more
TL;DR: A literature review of robotic odor source localization algorithms, which can be roughly divided into four categories: gradient-based algorithms, bio-inspired algorithms, multi-robot algorithms and probabilistic and map- based algorithms.
182
Supernumerary Robotic Limbs: A Review and Future Outlook
Bo Yang,Jian Huang,Xinxing Chen,Caihua Xiong,Yasuhisa Hasegawa +4 more
- 03 Jun 2021
TL;DR: This paper presents the state of the art in Supernumerary Robotic Limbs and discusses some open questions about SRLs’ design and control for further research.
53
A Deep Q-Network for robotic odor/gas source localization: Modeling, measurement and comparative study
TL;DR: The Deep Q-Network algorithm is applied to solve the odor source localization problem and an odor hits distribution model is proposed to model the odor concentration distribution in indoor environments, taking the dispersion by airflow, the odor molecular random walk, and the obstacles into account.
32
Foot Placement Prediction for Assistive Walking by Fusing Sequential 3D Gaze and Environmental Context
Kuangen Zhang,Haiyuan Liu,Zixuan Fan,Xinxing Chen,Yuquan Leng,Clarence W. de Silva,Chenglong Fu +6 more
- 24 Feb 2021
TL;DR: To predict the foot placements of humans on rough terrains, the present paper fuses sequential 3D gaze and the environmental context and applies an RGBD SLAM algorithm.
25
Intelligent mobile walking-aids: perception, control and safety
TL;DR: Three kinds of perception systems and perception algorithms of IMWs are dwelled on to explain how IMWs understand the user's motion states or tendency to prevent the user from abnormal cases.
17