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Recently, tele-operated robots are expected to search and rescue victims in a disaster area. However, there is a problem that the operation of rescue robots is too complex. One of this reasons is that an operator has to operate the mobile platform and the manipulator of a rescue robot simultaneously when the operator finds victims. In this study, a control method to coordinate locomotion and manipulation...
We address the problem of incorporating path planning with image-based control of a wheeled mobile manipulator (WMM) performing visually-guided tasks in complex environments. TheWMMconsists of a wheeled (non-holonomic) mobile platform and an on-board robotic arm equipped with a camera mounted at its end-effector. The visually-guided task is to move the WMM from an initial to a desired location while...
This paper presents an imitation learning method for object manipulation such as rotating an object or placing one object on another. In the proposed method, motions are learned using reference-point-dependent probabilistic models. Trajectory hidden Markov models (HMMs) are used as the probabilistic models so that smooth trajectories can be generated from the HMMs. The method was evaluated in physical...
Landmines continue killing and injuring people even many years after the end of conflicts. Mechanical systems and robots have been used for assisting in landmines location and improving the quality of humanitarian demining tasks. These new systems are expected to enhance safety, efficiency, time duration, etc, but many improvements are still needed in order to realize a practical system. In this paper,...
The problem of estimating position and orientation (pose) of an object in real time constitutes an important issue for vision-based control of robots. Many vision-based pose-estimation schemes in robot control rely on an extended Kalman filter (EKF) that requires tuning of filter parameters. To obtain satisfactory results, EKF-based techniques rely on “known” noise statistics, initial object pose,...
Online coordination of visual information with slow speed manipulator control is studied in the specific task of three dimensional robotic catching using position based visual servoing. The problem involves the design and application of a recursive algorithm to extract and predict the position of an object in a 3D environment from one feature correspondence from a monocular image sequence. Target...
Online coordination of visual information with slow speed manipulator control is studied in the specific task of three dimensional robotic catching using position based visual servoing. The problem involves the design and application of a recursive algorithm to extract and predict the position of an object in a 3D environment from one feature correspondence from a monocular image sequence. The measured...
Effects of camera calibration errors are investigated in static-eye configuration. The effect of the error in the extrinsic parameters of the camera to extract and predict the position of a flying object in a 3D environment using recursive least squares (RLS) is analyzed. Simulations have been carried in order to minimize the error of the position predicted in the global reference frame modifying...
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