Binaryoptionrobot o robot que nao e robotia
Charlie KempBiomedical Engineering. Dressing is a fundamental task of everyday living and robots offer an opportunity to assist older adults and people with motor impairments who need assistance with dressing.
While several robotic systems have explored robot-assisted dressing, few have considered how a robot can manage error due to human pose estimation or adapt to human motion during dressing assistance. In addition, estimating pose changes due to human motion can be challenging with vision-based techniques since dressing is intended to visually occlude the body with clothing. We also show that our proximity sensor is unaffected by visual occlusion of the body due to binaryoptionrobot o robot que nao e robotia and can enable a robot to follow the contours of a human body when providing assistance with dressing.
The autonomous control of an underwater vehicle is a key aspect in the development of underwater robots to assist in a variety of industries, including fishing, marine research, and underwater oil drilling, yet it is very difficult due to the complexities of hydrodynamics.
The use and development of these autonomous vehicles has been slowed by the expense and difficulties involved in testing large and expensive vehicles. The goal of this paper is to create a communication system for the GTMUR platform, a small and inexpensive platform for the testing binaryoptionrobot o robot que nao e robotia development of autonomous underwater control schemes.
This was done by implementing an infrared communication system to allow for reliable, untethered communication between the robot and the base station. This allows the vehicle to receive data and commands from the base station, while performing the majority of the computation on board. Once this communication system was integrated with the vehicle, a remote operation program, a depth controller, and a localization system were built to demonstrate the capabilities of the communication system and facilitate further testing and development of this platform.
Upper-body rehabilitation is a prime component of binaryoptionrobot o robot que nao e robotia sessions for individuals diagnosed with a neurological disorder. As the most common cause of mobile impairment in children, Cerebral Palsy affects 3. The goal of this research is to determine whether the NAO platform provides a difference in user performance in comparison to the DARwIn-OP platform to optimize upper-body rehabilitation strategies.
The kinematic parameter, movement time, is used in this analysis. User intrinsic motivation remained equivalent during gameplay with and without the NAO. Patricio VelaElectrical and Computer Engineering. Simultaneous Localization and Mapping SLAM is the problem faced binaryoptionrobot o robot que nao e robotia an autonomous mobile robot of constructing a map of a previously unknown environment while simultaneously working out its own location within that map. The SLAM community has made significant progress in the last 20 years, and recent advances have attracted the attention of industry.
Aaron YoungMechanical Engineering. The use of lower-body robotic exoskeletons can provide assistance during locomotion. Providing hip extension and flexion assistance at optimal times during the gait cycle can increase the efficiency of a device.
In order to detect optimal assistance timing and reduce the metabolic cost of the user while wearing a hip exoskeleton, a real-time continuous gait phase estimation system that requires no additional equipment or attachment points is needed. Currently, the use of force sensitive resistors FSR placed on the heel can provide information on the time of heel contact from which we can predict gait phase, but this method of prediction does not work well for irregular or changing walking cadences, and FSRs must be attached distally from the hip exoskeleton.
The gait phase detection system described in this paper used an inertial measurement unit IMU and an electro-goniometer to obtain data about the thigh motion and hip angle during level walking. A machine learning model, Gaussian Process Regression GPRwas trained with sensor data to predict gait phase independently of walking speed, and a Kalman filter was designed to improve the prediction from the model.
After training and filtering, the system was able to predict gait phase from sensor data binaryoptionrobot o robot que nao e robotia root mean square error of Creating an accurate gait phase estimation system is significant for increasing the efficiency of power assistance in lower limb robotic exoskeletons. Fumin ZhangElectrical and Computer Engineering. Face detection is an important research because of its useful applications in computer vision and its ability to be used for security and surveillance purposes.
The objective of this research is to implement the Viola-Jones frontal face detection algorithm on our robotic blimp.
This allows our blimp to become able to interact with humans. We have successfully detected faces using live streaming from a small camera. After attaching the camera to the blimp, we are able to control how the blimp reacts once it detects a face.
Our goal is to keep the blimp about one meter away from the face at all times, in conjunction with the face moving, while constantly facing the front of the face.
The blimp is able to react well to forward, backward, up, binaryoptionrobot o robot que nao e robotia, left and right movements by the face. However, more work will be required to optimize these movements. Ayanna HowardElectrical and Computer Engineering. Sonia Binaryoptionrobot o robot que nao e robotiaInteractive Computing. We present a novel, geometric method for in- tuitively encoding and reproducing a range of trajectory- based skills from binaryoptionrobot o robot que nao e robotia.
The proposed approach generates a continuous representation of the skill based on the concept of canal surfaces. Canal surfaces are Euclidean surfaces formed as an envelope of a binaryoptionrobot o robot que nao e robotia of regular surfaces, whose centers lie on a space curve.
A time-independent trajectory that preserves the skills main characteristics can generalize the learned skill to unforeseen situations remaining inside the canal. The main advantages of the proposed canal surface approach include: Evaluations using simulated and real- world data as well as a comparison to an established method exemplify the feasibility and robustness of our approach.
This study outlines the limitations of heat transfer-based sensing for material recognition. In some cases, it is difficult to identify the material because two different materials can have the same thermal response. For example, aluminum and pine have the same thermal response at initial temperatures of 22oC for aluminum and for 7. This introduces an ambiguity for a robot using heat transfer based sensing in material recognition. In this paper, we show the conditions for which this ambiguity in material recognition can occur by doing computer simulations.
After founding many cases, we derived mathematically a relation between the initial temperatures of the sensor and the objects and their thermal effusivities.
We found that that relation is satisfied, ambiguity in material recognition occurs. Finally, based on the initial conditions that we simulated, we did an experiment with a one degree of freedom robot to verify our findings.
Daniel GoldmanPhysics. Many experiments have been done on ant tunnels, but almost all of them have been done in homogenous mediums. This differs greatly from the soils that ants tunnel through in nature, which are very heterogeneous by having stones, twigs, roots, and all sorts of obstacles in their way. The objective of this experiment was to challenge groups of Solenopsis invicta, more commonly known as the red imported fire ant, to tunnel through plate obstacles of varying permissibility to discover new possibilities for a stochastic model in heterogeneous settings.
The experiments were viewed with two perspective questions in mind: To find out, cylindrical tubes were filled with a mixture of glass beads and water, and a plate obstacle was placed ten centimeters below the surface. The tunnel systems were viewed as a network, and the number of nodes, edges, and vertex degrees per node were recorded.
These elements were analyzed and used to study the branching patterns and aggregate decisions the ants made. We found that when the ants encountered larger obstacles, they not only navigated their way around the obstacle, but also binaryoptionrobot o robot que nao e robotia with the obstacle much more by branching out along its surface.
Our results demonstrate the potential beginnings of a new model for ant tunneling in heterogeneous environments. Despite the large population of overtransfemoral amputees in the United States alone, current commercial trans-femoral prosthesis limit the day-today life of amputees with increased metabolic cost and constrained locomotion capabilities.
AMPRO3 is a transfemoral prosthetic with controllers translated from bipedal walking robots that aims to achieve natural human-like walking with minimizing power consumption. The first iteration utilized a low profile rigid design that allows for multipoint contact, human like walking. This design was evaluated using metabolic cost of transport CoT of able bodied subjects as well as power consumption assessments. After testing unaugmented walking, as well as flat foot walking and multipoint contact walking with two different gaits we found that flat foot walking had lower metabolic cost of transport than multi-contact walking.
Additionally, metabolic rates were significantly higher than previous studies with lower limb prostheses that tested with amputees. These results suggest that there is still room for design improvements as well and a need to test with amputees. A second design iteration incorporated mechanisms to assist in push off during walking. Further testing will help elucidate the effect of design changes in an effort to achieve safe, efficient human like walking.
This study compares computer vision based methods for pose detection of walking patients in unconstrained environments. The methods used are clustering methods for finding centroids and model fitting methods that com- pute the probability of new pixel data belonging to a given class label.
Each of the methods were evaluated against manually annotated videos of indi- viduals walking, referred to as the ground truth. Potentially, these methods can allow patients to conduct at-home gait tests, from any camera, providing the physical therapist with more data and reducing the cost and amount of equipment. Further, a combination of these methods may be developed to extend into multidimensional detection for gait analysis. Healthcare is continually evolving and changing as technology grants opportunity for advancement.
These advancements incorporate new methods of performing old tasks as well as new systems and procedures altogether that are safer, more efficient, or more convenient. Robotics grants new freedoms in the healthcare field through automated manipulation, as binaryoptionrobot o robot que nao e robotia as assistive wearable devices. These robotic devices can come in the form of new prosthetics that grant the user mobility that was once lost, or can take the form of automated systems capable of performing tasks without direction from the user.
As these technologies become increasingly utilized and the scope of their application expands, more diverse, reliable sensing technologies are required. Furthermore, these technologies must be cost efficient in order to receive public acceptance. The objective of this research is to examine and develop a light intensity strain sensor capable of being used for position sensing in soft robotic devices, as well as other applications.
The proposed sensors prove to deliver reliable feedback, making them viable options for binaryoptionrobot o robot que nao e robotia development. The low cost of the proposed sensors makes them extremely attractive binaryoptionrobot o robot que nao e robotia use in assistive robotic devices, soft robotic devices, as well as other applications that require basic strain or position sensing.
HowardElectrical and Computer Engineering. Currently, there exist several robot platforms that can mimic basic facial expressions, however, many of them are expensive and would be financially unreasonable for the average American to acquire. This research investigates the possibility of the mimicry of facial expressions in robots using cheaper and more affordable components.
A survey of a small pool of participants found that the interpretations of these facial expressions converged the least when the expression was at its least and most intense states. This survey was conducted by having participants write down their interpretations of a series of displayed expressions and comparing them to the intended expression.
The middle-most intense emotions were interpreted accurately with respect to the hypothesis and with the lowest standards of deviation. We therefore were able to conclude that using a very limited set of parameters, the most universally recognized facial expressions could be conveyed and understood, while more complex expressions — the most extreme facial expressions — required less simplistic parameters.
Mobile manipulators such as the Personal Robot 2 PR2 are capable of assisting motor impaired individuals with a number of daily activities. Furthermore, since close physical contact is expected, anomaly detection plays a key role in preventing harm to both the human and the robot. In this paper, we present an anomaly detection method for multimodal sensory input collected during a robotic feeding task with the PR2.
Since there are a number of anomalies that binaryoptionrobot o robot que nao e robotia be detected using only one source of sensory information we utilize several modalities such as vision, applied forces, and robot kinematics to detect even slight anomalies that occur during the task. In contrast to many conventional anomaly detectors, our work considers the correlation between these multimodalities to improve detection rate.
This is done using a multivariate hidden Markov model and a dynamic local threshold that varies during the task execution.
In some cases, you might be able to get around the problem by using alternative REML algorithms e. the Fisher scoring approach ( --reml-alg 1). The results from analyses using this option might not be reliable. Binaryoptionrobot o robot que nao e robotia example, if you specify the number of autosomes to be 19, then chromosomes 1 to 19 will be recognized as autosomes and chromosome 20 will be recognized as the X chromosome.
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