Control of Bio-Inspired Multi-robots Through Gestures Using Convolutional Neural Networks in Simulated Environment-Reference-Cited by-同舟云学术

Control of Bio-Inspired Multi-robots Through Gestures Using Convolutional Neural Networks in Simulated Environment

Published:2020-09-09 Issue: Volume: Page:707-718
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Saraiva A. A.,Santos D. B. S.,Fonseca Ferreira Nuno M.,Boaventura-Cunha José

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58653-9_68

Reference21 articles.

1. Melo, R., de Araújo, T.P., Saraiva, A.A., Sousa, J.V.M., Ferreira, N.M.F.: Computer vision system with deep learning for robotic arm control. In: 2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE), pp. 357–362. IEEE (2018)

2. Junior, F.D.C.F.M., Saraiva, A.A., Sousa, J.V.M., Ferreira, N.M.F., Valente, A.: Manipulation of bio-inspired robot with gesture recognition through fractional calculus. In: 2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE), pp. 230–235. IEEE (2018)

3. Saraiva, A.A., Santos, D.S., Junior, F.M., Sousa, J.V.M., Ferreira, N.F., Valente, A.: Navigation of quadruped multirobots by gesture recognition using restricted Boltzmann machines. In: Memorias de Congresos UTP, vol. 1, pp. 431–438 (2018)

4. Schwager, M., Dames, P., Rus, D., Kumar, V.: A multi-robot control policy for information gathering in the presence of unknown hazards. In: Robotics Research, pp. 455–472. Springer (2017)

5. Pigou, L., Van Den Oord, A., Dieleman, S., Van Herreweghe, M., Dambre, J.: Beyond temporal pooling: recurrence and temporal convolutions for gesture recognition in video. Int. J. Comput. Vision 126(2–4), 430–439 (2018)