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This paper presents a design of speech recognition interface for a robotic endoscope holder for abdominal Minimally Invasive Surgery(MIS). A set of seven voice commands are used to control 3 degree of freedom(DOF) robotic arm with remote center of motion(RCM). Speech recognition algorithm was implemented on Ubuntu OS using Pocket Sphinx and achieved 90% success rate. Command signal was delivered to...
Minimally invasive surgeries(MIS) possess obvious advantages for patients but require more specially trained personnel than common, open procedure. With modern advances in robotics, it becomes possible to ease these requirements by introducing robotized assistants into operation. However, for robot-assisted solo MIS, it is crucial to have appropriate methods for robot control. This work presents a...
The rehabilitation quality of stroke patients has drawn much attention in recent years. Researchers have developed various kinds of devices for lower and upper limb rehabilitation functions. In this paper, we present a 3 degrees-of-freedom (3-DOF) wearable robotic fingers for rehabilitation of task-oriented training in grasping tasks. A control strategy is proposed for grasping task training by considering...
Intelligent human-robot interface helps a mobile robot to extract external information and interact with a user. User identification information allows a robot to generate appropriate behaviors and make personalized human-robot interaction (PHRI) more natural and safe. Most of service robots move around in various application settings, and biometric features always change during relative movements...
Many robotic vision systems suffer from unsatisfied recognition rate and high computational load. A solution to the design of a fast and sufficiently accurate robotic vision system requires urgent attention. This paper presents a novel image processing architecture for visual attention and tracking applications using a series of low-level image processing units. The proposed system features a human-mimic...
In this paper, a pose-variant face recognition system is presented for study of human-robot interaction design. An iterative fitting algorithm is proposed to extract feature-point positions based on active appearance model (AAM). Comparing with the traditional Lucas-Kanade algorithm, the proposed iterative algorithm improves the capability of correct convergence as a larger variation of head posture...
This paper presents a novel design of autonomous robotic facial expression generation using a fuzzy-neuro network. The emotional characteristics of a robot can be specified in this design by assigning weights in the fuzzy-neuro network. The robotic face generates appropriate expressions in responding to the image recognition results of a user's emotional state and the assigned robotic emotional characteristics...
This paper presents a novel method of autonomous grasping design for a mobile manipulator, such that the robot can find and grasp a target object in a complex environment. Scale invariant feature transform (SIFT) algorithm is adopted to search and recognize features of the object to be grasped. Histogram-enhanced feature matching (HEFM) is developed to obtain depth estimate and reject unreliable feature...
Because of its 360deg field of view, an omni-directional camera is suitable for detecting and tracking environmental features in mobile robot navigation applications. This study aims to investigate simultaneous localization and mapping (SLAM) of a mobile robot using omni-directional images. A switching method of visual reference scans is proposed to facilitate fast visual scan matching in the SLAM...
This paper presents a novel method for mobile robot localization based on multi-robot cooperative sensing. A multi-robot cooperative localization scheme is proposed using visual detection and sensor data fusion. The visual detection system employs a stereo vision module for both observing other robots and obtaining environmental information. Each mobile robot is able to recognize its teammates by...
With increasing number of aging people, taking care of the elderly will become more and more important for future society, especially for those elderly living alone. This paper presents an autonomous mobile robot Rola (Robot of LivingAid) , which can handle certain emergency conditions in a home setting to help the elderly through multi-modal sensing and control functions. The implemented functions...
Human detection and tracking is important for user-friendly human-robot interaction. The robot should be able to find the user autonomously and keep its attention to the user in a human-like manner. In this paper, a design and experimental study of robust human detection and tracking is presented through fusion several modalities of sensory information. The multi-modal interaction design utilizes...
The capability of robotic emotion recognition is an important factor for human-robot interaction. In order to facilitate a robot to function in daily live environments, a emotion recognition system needs to accommodate itself to various persons. In this paper, an emotion recognition system that can adapt to new facial data is proposed. The main idea of the proposed learning algorithm is to adjust...
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