Institution
Capital District Transportation Authority
About: Capital District Transportation Authority is a based out in . It is known for research contribution in the topics: Mobile robot & Thin film. The organization has 487 authors who have published 705 publications receiving 5004 citations. The organization is also known as: CDTA.
Papers published on a yearly basis
Papers
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TL;DR: A new Bio- inspired MPPT controller based on the Ant colony Optimization algorithm with a New Pheromone Updating strategy (ACO_NPU MPPT) that saves the computation time and performs an excellent tracking capability with high accuracy, zero oscillations and high robustness is proposed.
220 citations
TL;DR: An in-depth review of existing anomaly detection frameworks for building energy consumption based on artificial intelligence is presented, in which a comprehensive taxonomy is introduced to classify existing algorithms based on different modules and parameters adopted.
198 citations
TL;DR: A literature review of major recent works on human–robot interactions in industrial collaborative robots, conducted during the last decade (between 2008 and 2017), and a tentative classification of the content of these works into several categories and sub-categories is proposed.
Abstract: Currently, a large number of industrial robots have been deployed to replace or assist humans to perform various repetitive and dangerous manufacturing tasks. However, based on current technologica...
192 citations
TL;DR: In this approach, the robot makes use of depth information delivered by the vision system to accurately model its surrounding environment through image processing techniques and generates a collision-free optimal path linking an initial configuration of the mobile robot to a final configuration (Target).
169 citations
TL;DR: An algorithm for visual obstacle avoidance of autonomous mobile robot by balancing the amount of left and right side flow to avoid obstacles is developed, this technique allows robot navigation without any collision with obstacles.
Abstract: In this paper we try to develop an algorithm for visual obstacle avoidance of autonomous mobile robot. The input of the algorithm is an image sequence grabbed by an embedded camera on the B21r robot in motion. Then, the optical flow information is extracted from the image sequence in order to be used in the navigation algorithm. The optical flow provides very important information about the robot environment, like: the obstacles disposition, the robot heading, the time to collision and the depth. The strategy consists in balancing the amount of left and right side flow to avoid obstacles, this technique allows robot navigation without any collision with obstacles. The robustness of the algorithm will be showed by some
144 citations
Authors
Showing all 487 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Lionel Zenner | 25 | 53 | 1879 |
| Hamid Laga | 22 | 122 | 2035 |
| Marc Le Bert | 21 | 44 | 2360 |
| Stéphanie Lerondel | 20 | 53 | 2085 |
| Tahar Touam | 19 | 63 | 1001 |
| G. Merad | 14 | 49 | 704 |
| Yassine Himeur | 14 | 62 | 582 |
| Farid Ghanem | 14 | 59 | 900 |
| Mustapha Hamerlain | 13 | 87 | 606 |
| Djamel Bouchaffra | 12 | 36 | 658 |
| Brahim Bouzouia | 12 | 53 | 577 |
| El-Hachemi Amara | 12 | 57 | 483 |
| Elhocine Boutellaa | 11 | 33 | 349 |
| Mohamed Ayoub Messous | 11 | 20 | 355 |
| Nadia Saoula | 11 | 42 | 438 |