Lei Wang, Lei Zhang, Junyan Yi, Xiaoyan Wen, Chuncheng Liao
언어
영어(ENG)
URL
https://www.earticle.net/Article/A246168
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
A visual system based on virtual and real video for the humanoid robot manipulation is presented. 3D virtual model of humanoid robot is established. It has the same aspect and freedom setup as the real robot. Multiple feedback from the robot are fused and used to express the real robot status as text and images. The system also forecasts the operation order and displays the simulation result. In the data fusion module, a least-squares algorithm is adopted to calculate the real-time position and attitude of the robot. Experiments demonstrate that the system can offer good telepresence and a preview of the operation order. In this paper, we also propose an adaptive Elastic Net method for edge linking of images from the robot cameras to understand the situation of the task. In the proposed method, an adaptive dynamic parameter strategy and a stochastic noise strategy are introduced into the Elastic Net, which enables the network to have superior ability for escaping from local minima and converge sooner to optimal or near-optimal solutions
목차
Abstract 1. Introduction 2. The Humanoid Robot Platform 3. The System Constitution of the Telepresence System 4. The Calculation Method for the Robot Real-time Pose 5. The Adaptive Elastic Net Method for Edge Linking 6. Experiment 7. Conclusion Acknowledgments References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.5