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This paper is concerned with the detection of moving objects using a pan-tilt camera and a background subtraction algorithm. Traditionally, motion compensation is performed on the current image to align its pixels with their background models in previous frames. Pixel misalignment however can occur during motion compensation. Although this problem can be alleviated by using pixel motion such as the...
Learning the scene correlation of uncalibrated static cameras is in increasing demand for intelligent surveillance system, such as making a inference of topology, or allocating computation resources for video retrieval in multirobot system. However, many existing approaches learn the scene correlation among camera views by camera calibration or tracking targets across cameras. They seldom learn the...
In order to provide robots for a wide range of users, they must be easily programmable. This is addressed by various approaches of programming a robot by demonstration, where the user guides a robot through the task. We propose an approach that adapts a once demonstrated trajectory to a new situation. The system extracts the relevant reference frames using a weighting function. Then, the demonstrated...
This paper is to present a SCARA welding robot system with novel online welding teach function named handheld welding teaching (HWT), the mechanical structure of the SCARA robot has been adapted, include using two-layer reduction in the robot joints, adding magnet-clutch between the motor shaft and gear in each joint, equipping gravity balance device. With the adaptations the operator can move the...
For many tasks such as welding and polishing on complex surfaces with manipulators, teaching-and-playback is difficult and inefficient. Motion planning with offline programming is an effective and efficient alternative control mode for these tasks. In this paper, we present a method to plan motion by offline programming for tasks on spherical workpieces and develop a corresponding planning module...
This paper proposes an iterative motion learning method with stiffness adaptation for energy saving in multi-joint robots. The method iteratively updates both a desired motion and joint stiffness using time-series data of the actuator torque obtained in a control trial with the desired periodic motion. The iterative method is designed to realize the convergence of the desired motion to an energy-efficient...
A single industrial robot is sometimes not sufficient to achieve some complex tasks such as polishing or welding on complex surfaces. In this case, a positioner is usually employed as an auxiliary device, and their motion is required to be coordinated. This paper proposes a method for coordinated motion planning of a manipulator-positioner system which consists of one 6-DoF manipulator and one 2-DOF...
Compliant-motion control implementation on a humanoid robot with electrohydraulic joints is presented. Characterization results are shown, leading to a dynamic model used in feedback. A Natural Admittance Controller is designed, and its performance is demonstrated in demanding manipulation tasks, including dual-arm palmar manipulation of an egg and dual-arm valve turning.
This paper presents the design and implementation of an intrinsically soft arm system for the COMpliant huMANoid COMAN robot. The two arms (left and right) use state-of-the-art technologies on actuator design that combine both active and passive compliance principles. Robustness of the arms is ensured by integrating intrinsic Series Elastic Actuation (SEA) into the joints to protect the arm at the...
Stable walking of bipedal humanoid is an crucial and challenge issue of research in bipedal robots. And the structure of shoe sole plays a significant role in preventing someone from slipping in human life. The humanoid robot foot often skid while the robot is walking fast, and it may cause serious harmfulness. This study presents some foot pads for humanoid robot to improve its stability and reliability...
Kinematic planning for performing manipulation tasks with an Atlas humanoid robot is presented. A hybrid analytic/numerical inverse kinematics approach is described, yielding fast solutions. The solution technique supports extensive exploration of manipulation strategies. Task-specific optimization metrics are introduced, leading to manipulation plans for three tasks: acquiring a horizontal cylinder,...
This study aims to develop a state transition model and speech recognition module for application to a whole-body patient simulator for scenario based training (SBT) of neurological examination procedures. These procedures are very important for the early identification of neurological system disorders. In neurological examinations, the doctor selects procedures by situation of patients, interacts...
Neurological time delay is one of the important elements threatening human postural stability. Previous studies mainly focused on the neural controller to stabilize a human size inverted pendulum model. What kind of postural control mechanism is necessary for compensating neurological time delay by controlling muscles still remains a question. This research proposed to investigate whether a stance...
This paper presents a new prosthetic hand control using speech and sEMG for forearm amputees. sEMG signals can often be affected by operators' biological conditions such as fatigue, sleepiness, flush, etc. Speech signals, in contrast, are relatively unaffected by the operators' biological conditions. To enhance reliability and usability of the prosthetic hand operation, the proposed hand has two control...
Dexterous manipulation by multi-fingered robotics hands has been a research topic for more than thirty years. However, forming grasping closure and determination of fingertips forces has always been an issue due to related complexity. Will a robotic hand grasping be enhanced via learning from human grasping? There have been a number of attempts for that. This article is presenting a different approach,...
Development of computational models of the brain is relevant not only for deepening our understanding of the biological system but also for potential applications to various engineering problems. In this paper the implementation of a bi-hemispherical neuronal network model of the cerebellum (biCNN) in a stand-alone, portable real time (RT) device is presented. The biCNN is tested during a control...
While robots are often used in autism therapy, the Uncanny valley effect was never studied in subjects with Autistic Spectrum Disorder (ASD). Since persons with ASD have trouble understanding body language, they react differently to the Uncanny valley. In this paper, we propose to investigate the possible difference in the Uncanny valley's perception of an emotional humanoid robot in subjects with...
In this paper, we propose and analyze a Regenerative Magnetorheological Actuator (RMRA) for gait assistance in knee joint. The actuator has motor and magnetorheological (MR) brake parts working in parallel, and can harvest energy through regenerative braking. This novel design provides multiple functions with good energy efficiency. The design of the RMRA is first introduced, and its multiple functions...
With the development of artificial intelligence and pattern recognition, facial expression recognition plays a more and more important role in intelligent human-computer interaction. In this paper, we present a model named K-order emotional intensity model (K-EIM) which is based on K-Means clustering. Different from other related works, the proposed approach can quantify emotional intensity in an...
This paper focused on improving the movement accuracy of PMs on the end-effector. Lots of sensors will be used to joints as possible, Some joints with better error performance than original driving joints at each position in the work space will be identified by using error evaluation measures, and their movement information will be transfered to driving joints to realize movements of the end-effector.
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