Robotic State Recognition based on Large-Scale Vision-Language Models and Genetic Algorithm
Author:
Affiliation:
1. Graduate School of Information Science and Technology, The University of Tokyo
Publisher
The Robotics Society of Japan
Link
https://www.jstage.jst.go.jp/article/jrsj/42/3/42_42_259/_pdf
Reference15 articles.
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2. 2) M. Saito, H. Chen, K. Okada, M. Inaba, L. Kunze and M. Beetz: “Semantic Object Search in Large-scale Indoor Environments,” IEEE/RSJ International Conference on Intelligent Robots and Systems, Workshop on Active Semantic Perception and Object Search in the Real World, 2011.
3. 3) R.T. Chin and C.R. Dyer: “Model-Based Recognition in Robot Vision,” ACM Computing Surveys, vol.18, no.1, pp.67–108, 1986.
4. 4) B. Quintana, S.A. Prieto, A. Adän and F. Boschë: “Door detection in 3D coloured point clouds of indoor environments,” Automation in Construction, vol.85, pp.146–166, 2018.
5. 5) X. Li, M. Tian, S. Kong, L. Wu and J. Yu: “A modified YOLOv3 detection method for vision-based water surface garbage capture robot,” International Journal of Advanced Robotic Systems, vol.17, no.3, pp.1–11, 2020.
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