[PDF] Top 20 Detection Of Anomaly Object By Using Humanoid Robot

... untuk robot humanoid mengenal dan belajar mengenai sifat sesuatu objek itu di dalam situasi yang terkawal tetapi pada masa yang sama mengesahkan corak anomali yang mungkin berlaku apabila terdapat senario ... See full document

... moving object detection (MOD) algorithm is developed and integrated with robot visual Simultaneous Localization and Mapping ...moving object is assumed to be a rigid body and its coordinate ... See full document

... Corner Detection is used to find objects ...and object requires solving the correspondence problem as stated in Chapter 4 Section ...The object is assumed to be placed on a table or any other flat ... See full document

... Result: better use of the drive components as well as energy savings for the battery. Fall Manager NAO may fall, but we taught him how to stand up by himself. We went even further and provided him with a fall ... See full document

... Locomotion new methods, New locomotion methods were developed to facilitate developing behaviors and a more stable walking was design based of ZMP. Locomotion methods associated with NaoVi vision framework, as scanning ... See full document

... the robot, the robot looks for a face using the HOG ...face detection, is passed through the face landmark estimation followed by pose correction by basic image ...the robot addresses ... See full document

... for object categorization attempt to establish a direct mapping between the robot’s object representation and human-provided semantic category ...problem using visual image features coupled with ... See full document

... After we have the BoF vectors for the short-time windows, we perform max-pooling over a longer time window, which cap- tures the temporal variations of the timbre characteristics along the duration of the sound event. ... See full document

... Thus, when picking regularly arranged objects, a set of objects can be handled as a complex. As shown in Fig. 3, there are the typical patterns of object arrangements. As shown in Fig. 4, in many cases, a specific ... See full document

... In our approach, we cannot recognize which part of the face is touched. One could train one HMM per section of the faces and compare new data to each model, thus classifying the face and the part of the face being ... See full document

... 4 Student, Computer Technology & RTMNU, India 5 Guide, Computer Technology & RTMNU, India 1 [email protected]; 2 [email protected]; 3 [email protected]; 4 [email protected] Abstract—The ... See full document

... However, the competition rule for stage lighting is subject to change year after year. We ensure the data set is suitable for training, validation and testing the architecture while maximizing possibility for future ... See full document

... a humanoid robot is that the several body parts should be able to ...an object. The first feature is reachability which assures the robot to grasp an object, the second feature is ... See full document

... mobile robot, sensor fusion is important to perceive its ...autonomous robot moves ...environments using its sensors and decides its course of action according to its programming without any external ... See full document

... The robot turns around and tries to find all the landmarks around it, and compares the obtained landmark sequence with stored ...the robot is entering a corridor (using the laser telemeter) and ... See full document

... system using spherical lenses for real-time object ...between object and robot from the spherical image is modeled using the neural network with optimized by particle swarm ... See full document

... Based on Muneeb Shaikh et al. (2011) a vision tracking system for mobile robot by utilizing Unscented Kalman Filter (UKF). The proposed framework precisely gauges the position and introduction of the mobile ... See full document

... the robot will be able to track an object in the world frame and move towards ...NAO robot can be programmed to interact with the environment ... See full document

... Take, for example, the dictionary learned for a simple image shown in Figure 18. The dictionary is learned with K = 100, which, due to the number of redundant atoms, is clearly more than is necessary to represent the ... See full document

... The feasibility of matching human performance is considered, and it is concluded that the necessary power and energy requirements can be fitted within the mass and volume of the human bo[r] ... See full document