17 Papers
24 Citations
Ji Li is an academic researcher from Tianjin University of Technology. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 3, co-authored 17 publications.
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Papers
EEG-Controlled Wall-Crawling Cleaning Robot Using SSVEP-Based Brain-Computer Interface.
Lei Shao,Longyu Zhang,Abdelkader Nasreddine Belkacem,Yiming Zhang,XiaoQi Chen,Ji Li,Hongli Liu +6 more
TL;DR: This paper focuses on connecting the brain with a mobile home robot by translating brain signals to computer commands to build a brain-computer interface that may offer the promise of greatly enhancing the quality of life of disabled and able-bodied people by considerably improving their autonomy, mobility, and abilities.
Path Planning for Mobile Robots Based on Improved RRT Algorithm
Lei Shao,Hanze Liu,Chao Chen,Dongdong Du,Ji Li,Hongli Liu +5 more
- 13 Oct 2020
TL;DR: An improved RRT path optimization algorithm is proposed, which uses the ant colony algorithm to obtain the basic RRT algorithm, and eventually converges to a shortest path, improving the efficiency of planning the shortest path in advance.
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Energy Consumption Data Prediction Analysis based on EEMD-ARMA Model
Ji Li,Xudong Jiang,Lei Shao,Hongli Liu,Chao Chen,Gang Wang,Dongdong Du +6 more
- 13 Oct 2020
TL;DR: This paper improves empirical mode decomposition by ensemble empiricalmode decomposition (empirical mode decompositions, EMD) and predicts energy consumption by combining auto regressive sliding average model (auto regressive and moving average model, ARMA).
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Microgrids as Flexible and Network-Connected Grid Assets in Active Distribution Systems
TL;DR: A simulation model is implemented in MATLAB to validate the proposed networked microgrids and the corresponding operation strategy and to satisfy the latest standards in terms of renewable energy integration.
Trajectory tracking control of photovoltaic cleaning robot based on Lyapunov theory and Barbalat lemma
Ji Li,Miao Peng,Lei Shao,Hongli Liu,XiaoQi Chen +4 more
- 09 Jun 2018
TL;DR: The Lyapunov theory and the Barbalat lemma are used to prove the existence of the global asymptotic tracking control law and the results show that the control law adopted is stable and effective.
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