The purpose of this report is to evaluate different methods for identifying states in robot models. Both linear and non-linear filters exist among these methods and are compared to each other. Advantages, disadvantages and problems that can occur during tuning and running are presented. Additional measurements from Accelerometers are added and their use with above mentioned methods for state estimation is evaluated. The evaluation of methods in this report is mainly based on simulations in Matlab, even though some experiments have been performed on laboratory equipment.The conclusion indicates that simple non-linear models with few states can be more accurately estimated with a Kalman filter than with an extended Kalman filter, as long as only linear measurements are used.

In order to detect movements and vibrations on different appliance, especially robots and self-going devices are used different sensors. One of the most used movement sensors are Accelerometers. They are three different types of Accelerometers one-axes, two-axes and three-axes. They can be analogue or digital. Husqvarna AB uses an accelerometer to detect movements of their self-going lawnmower Automower.

Background Research concerning footing and its contribution to injuries has been conducted primarily in racing Thoroughbreds. Studies in UK and Japan indicate that some specific factors could be responsible for an increase in performance-associated injuries. Researchers in Sweden have performed studies on Standardbred trotters. More research is needed to be done on equestrian sports since requirements on footing are not exactly the same in riding and trotting horses. The lack of scientific evidence on the construction of equestrian surfaces has lead to anecdotal validation of designs.

Background: Evaluation of lameness in horses is traditionally performed by a veterinarian who subjectively evaluates the movements of the horse. Accordingly, lameness diagnosis varies with the veterinarian and circumstances for which the horse is examined. Research within the area has long tried to establish an objective and standardized method for lamenessevaluation in horses. Several methods have been shown to be reliable and are used regularly within research, for example measurement of forces between the hoof and ground, and measurement of movements with high speed cameras or Accelerometers. However these methods require considerable preparation, standardization, and expensive equipment as well as produce large amounts of data that are incomprehensible for the clinician.

In this master thesis, control algoritms using arm side sensors are investigated for an industrial robot. The sensors can be position encoders placed after the gearbox and Accelerometers on the robot arms. Control strategies are discussed and evaluated for different models of the robot, after which chosen strategies are applied to a realistic model. Control algoritms using arm side sensors (LQ, dual-loop and PD-PID) are compared to a PID-controller that only uses measurements of motor position for feedback control. The comparison are done with respect to disturbance rejection, oscillation damping, robustness and tracking performance of a reference trajectory.

In today?s horse keeping, there is an increasing awareness of the importance of movement and activity for the horses comfort and tenability, while tradition has it that horses should be kept in boxes and small paddocks. In order to develop housing systems that fulfils and optimizes the horses needs regarding movement and activity, we need to know more about factors that influence the activity patterns of horses. A first step is to be able to record and analyze the gaits in horses with an automated system. This could be done by use of accelerometer data.In this pilot study, existing accelerometer technique was used to characterize the different gaits in horses (walk, trot and canter) by studying how their respective signal patterns differ and how this is influenced by the size of the horse.The Accelerometers being used in this study measures the movement in three different spaces; horizontal, lateral and vertical.

The aim of the Master?s Thesis work is to study and develop algorithms for autonomous travel of a UGV (Unmanned Ground Vehicle). A vehicle for the mounting of sensors has been constructed in order to perform the work. Since the UGV is to be used outdoor in urban areas, GPS can be used. To improve precision and robustness, inertial navigation is used in addition to GPS, since GPS reception is likely to be diminished in such areas.

In this thesis, a transparent model of the human head has been constructed which was filled with a substance that represented the brain. This model was later crash tested. This was done in order to examine how a transparent model of the human head can be constructed to generate accurate data from crash tests. It was also done in order to examine how impacts on the front of the head can deform the rear of the brain. When a head is decelerating, the brain moves forward inside the skull and may hit the front of the skull.

In this thesis, a transparent model of the human head has been constructed which was filled with a substance that represented the brain. This model was later crash tested. This was done in order to examine how a transparent model of the human head can be constructed to generate accurate data from crash tests. It was also done in order to examine how impacts on the front of the head can deform the rear of the brain. When a head is decelerating, the brain moves forward inside the skull and may hit the front of the skull.

In this thesis, a transparent model of the human head has been constructed which was filled with a substance that represented the brain. This model was later crash tested. This was done in order to examine how a transparent model of the human head can be constructed to generate accurate data from crash tests. It was also done in order to examine how impacts on the front of the head can deform the rear of the brain. When a head is decelerating, the brain moves forward inside the skull and may hit the front of the skull.