机构

• 沈阳自动化研究所 [7]
• 自动化研究所 [3]

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [5]
• 会议论文 [4]
• 学位论文 [1]

发表日期

• 2021 [4]
• 2012 [1]
• 2007 [2]
• 2004 [2]
• 2003 [1]

学科主题

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Complete and Accurate Indoor Scene Capturing and Reconstruction Using a Drone and a Robot 期刊论文  OAI收割 IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 10, 页码: 11858-11869 作者:  Gao, Xiang;  Zhu, Lingjie;  Cui, Hainan;  Hu, Zhanyi;  Liu, Hongmin   |  收藏  |  浏览/下载：59/0  |  提交时间：2021/06/07 Image reconstruction  Cameras  Robot vision systems  Drones  Pipelines  Robot localization  Indoor scene capturing and reconstruction  drone-robot cooperation  aerial map construction  ground robot localization  ground-to-aerial image merging   GR-LOAM: LiDAR-based sensor fusion SLAM for ground robots on complex terrain 期刊论文  OAI收割 Robotics and Autonomous Systems, 2021, 卷号: 140, 页码: 1-13 作者:  Su Y(苏赟);  Wang T(王挺);  Shao SL(邵士亮);  Yao C(姚辰);  Wang ZD(王志东)   |  收藏  |  浏览/下载：48/0  |  提交时间：2021/03/14 Simultaneous localization and mapping (SLAM)  Ground robot  Encoder  Sensor fusion  Tight coupling scheme   Mechatronics design of self-adaptive under-actuated climbing robot for pole climbing and ground moving 期刊论文  OAI收割 Robotica, 2021, 页码: 1-20 作者:  Liu YW(刘玉旺);  Yu Y(于艺);  Wang DQ(王冬琦);  Yang S(杨晟);  Liu JG(刘金国)   |  收藏  |  浏览/下载：51/0  |  提交时间：2021/12/20 underactuated mechanism  climbing robot  self-adaptive holding  model reference adaptive control  ground moving   Motion planning of ground simulator for space instable target based on energy saving 期刊论文  OAI收割 Machines, 2021, 卷号: 9, 期号: 12, 页码: 1-22 作者:  Bai XL(白鑫林);  Li XW(李锡文);  Zhao, Zhen;  Yang MY(杨明毅);  Zhang, Zhang   |  收藏  |  浏览/下载：48/0  |  提交时间：2022/01/13 Continuous singularity configuration  Energy saving  Ground experiment  Optimal joint path  Robot motion planning  Space instable target   Ground substrates classification and adaptive walking through interaction dynamics for legged robots 期刊论文  OAI收割 Journal of Harbin Institute of Technology, 2012, 卷号: 19, 期号: 3, 页码: 100-108 作者:  Shao, Xuesong;  Yang,Yiping;  Wang, Wei   |  收藏  |  浏览/下载：19/0  |  提交时间：2016/10/26 Legged Robot  Ground Substrates Classification  Adaptive Walking  Interaction Dynamics   视觉测量与定位问题研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2007 作者:  曾慧 收藏  |  浏览/下载：43/0  |  提交时间：2015/09/02 视觉测量  单应矩阵估计  车轮与地面接触点  人脸姿态估计  机器人定位  visual metrology  homography estimation  the contacting point of wheel to the ground  face pose estimation  robot localization   Vibration analysis of obstacle-avoidance for EHV power transmission lines inspection robot 会议论文  OAI收割 33rd Annual Conference of the IEEE-Industrial-Electronics-Society, Taipei, TAIWAN, November 5-8, 2007 作者:  Sun CL(孙翠莲);  Wang HG(王洪光);  Zhao MY(赵明扬) 收藏  |  浏览/下载：17/0  |  提交时间：2012/06/06 inspection robot  pinhole camera calibration  extra high voltage power transmission line  ground line   Obstacle-navigation strategy of a wire-suspend robot for power transmission lines 会议论文  OAI收割 IEEE International Conference on Robotics and Biomimetics (ROBIO 2004), Shenyang, China, August 22-26, 2004 作者:  Tang L(唐栎);  Fu SF(付双飞);  Fang LJ(房立金);  Wang HG(王洪光) 收藏  |  浏览/下载：32/0  |  提交时间：2012/06/06 mobile robot  over head ground wire  expert system  autonomous obstacle-navigation  CLIPS   Obstacle-navigation control for a mobile robot suspended on overhead ground wires 会议论文  OAI收割 8th International Conference on Control, Automation, Robotics and Vision (ICARCV 2004), Kunming, China, December 6-9, 2004 作者:  Tang L(唐栎);  Fang LJ(房立金);  Wang HG(王洪光) 收藏  |  浏览/下载：37/0  |  提交时间：2012/06/06 obstacle-navigation control  mobile robot  over head ground wire  expert system  CLIPS   Ground condition sensing of a snake-like robot 会议论文  OAI收割 IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, Changsha, China, October 8-13, 2003 作者:  Lv Y(吕洋);  Ma SG(马书根);  Li B(李斌);  Chen L(陈丽) 收藏  |  浏览/下载：37/0  |  提交时间：2012/06/06 Snake-like robot has its unique locomotion mode and can change its locomotion form while the ground condition changed  to achieve the best velocity and efficiency. We first analyze the snake-like robot locomotion on different terrains simply  then point out the significance to sense the ground status that is the base of choosing different locomotion form on different ground. Last we use force sensors to distinguish the different ground status.