Combining Multiple, Inexpensive Gps Receivers To Increase Accuracy And Reliability,
2013
Purdue University
Combining Multiple, Inexpensive Gps Receivers To Increase Accuracy And Reliability, Daniel Kenneth Schrader
Open Access Theses
GPS is a technology that allows for accurate tracking of various parameters, namely speed and location. Many modern systems and tools require a rapidly-refreshing report of their speed and/or location, but the GPS technology available to most users may not be accurate enough for some applications. Methods currently
exist to improve GPS accuracy, but many or all of these methods are expensive, difficult, or simply not available without special technology and permission.
The research presented in this thesis describes an attempt to improve the accuracy and/or reliability of GPS, without using any expensive or restricted methods. The ability for any …
Analysis Of An Actuated Two Segment Leg Model Of Locomotion,
2013
Purdue University
Analysis Of An Actuated Two Segment Leg Model Of Locomotion, Nikhil Vinayak Rao
Open Access Theses
Research studies on dynamic models of legged locomotion have generally focused on telescoping-type leg models. Such telescoping spring loaded inverted pendulum (SLIP) models have been able to accurately predict observed center of mass (CoM) trajectories. There have been comparatively fewer studies on dynamics of locomotion
with segmented legs. Some earlier studies on the dynamics due to leg segmentation appear straightforward. For example, a simple model with the only joint moment being due to a passive springy knee has been shown to behave similarly to a telescoping spring-mass model. However, in real-life animal locomotion, there are multiple joint-moments acting at the …
Robotic Swarming Without Inter-Agent Communication,
2013
University of South Florida
Robotic Swarming Without Inter-Agent Communication, Daniel Jonathan Standish
USF Tampa Graduate Theses and Dissertations
Many physical and algorithmic swarms utilize inter-agent communication to achieve advanced swarming behaviors. These swarms are inspired by biological swarms that can be seen throughout nature and include bee swarms, ant colonies, fish schools, and bird flocks. These biological swarms do not utilize inter-agent communication like their physical and algorithmic counterparts. Instead, organisms in nature rely on a local awareness of other swarm members that facilitates proper swarm motion and behavior. This research aims to pursue an effective swarm algorithm using only line-of-sight proximity information and no inter-agent communication. It is expected that the swarm performance will be lower than …
Fpca Based Human-Like Trajectory Generating,
2013
University of South Florida
Fpca Based Human-Like Trajectory Generating, Wei Dai
USF Tampa Graduate Theses and Dissertations
This thesis presents a new human-like upper limb and hand motion generating method. The work is based on Functional Principal Component Analysis and Quadratic Programming. The human-like motion generating problem is formulated in a framework of minimizing the difference of the dynamic profile of the optimal trajectory and the known types of trajectory. Statistical analysis is applied to the pre-captured human motion records to work in a low dimensional space. A novel PCA FPCA hybrid motion recognition method is proposed. This method is implemented on human grasping data to demonstrate its advantage in human motion recognition. One human grasping hierarchy …
A Robust Rgb-D Slam System For 3d Environment With Planar Surfaces,
2013
University of Kentucky
A Robust Rgb-D Slam System For 3d Environment With Planar Surfaces, Po-Chang Su
Theses and Dissertations--Electrical and Computer Engineering
Simultaneous localization and mapping is the technique to construct a 3D map of unknown environment. With the increasing popularity of RGB-depth (RGB-D) sensors such as the Microsoft Kinect, there have been much research on capturing and reconstructing 3D environments using a movable RGB-D sensor. The key process behind these kinds of simultaneous location and mapping (SLAM) systems is the iterative closest point or ICP algorithm, which is an iterative algorithm that can estimate the rigid movement of the camera based on the captured 3D point clouds. While ICP is a well-studied algorithm, it is problematic when it is used in …
Design Of A Running Robot And The Effects Of Foot Placement In The Transverse Plane,
2013
Purdue University
Design Of A Running Robot And The Effects Of Foot Placement In The Transverse Plane, Timothy James Sullivan
Open Access Theses
The purpose of this thesis is to make advances in the design of humanoid bipedal running robots. We focus on achieving dynamic running locomotion because it is one metric by which we can measure how far robotic technologies have advanced, in relation to existing benchmarks set by humans and other animals. Designing a running human-inspired robot is challenging because human bodies are exceptionally complex mechanisms to mimic. There are only a few humanoid robots designed specifically for running and the existing robots are either constrained to a plane, do not yet exhibit human-like motion, or are unstable.
One aspect of …
Evaluating And Training Intraoperative Analysis Of The Mitral Valve,
2013
Florida Institute of Technology
Evaluating And Training Intraoperative Analysis Of The Mitral Valve, Neil A. Tenenholtz
Link Foundation Modeling, Simulation and Training Fellowship Reports
Mitral valve repair is the recommended method of treating valve incompetency. However, the procedure is quite difficult and, as a result, underperformed due to surgeon’s need to predict the closed valve shape of the patient’s arrested heart. While the interactive process of predicting closed valve shape is achieved by physically manipulating valve tissue (known as valve analysis), surgical training consists of traditional, non-interactive pedagogy (e.g., book-based learning and lectures) followed by an apprenticeship model where the trainee is gradually given hands-on experience, resulting in post-medical school training that is often 10 years or greater. The continuing education of practicing cardiac …
Dynamics And Control Of Higher-Order Nonholonomic Systems,
2013
Embry-Riddle Aeronautical University
Dynamics And Control Of Higher-Order Nonholonomic Systems, Jaime Rubio HerváS
Doctoral Dissertations and Master's Theses
A theoretical framework is established for the control of higher-order nonholonomic systems, defined as systems that satisfy higher-order nonintegrable constraints. A model for such systems is developed in terms of differential-algebraic equations defined on a higher-order tangent bundle. A number of control-theoretic properties such as nonintegrability, controllability, and stabilizability are presented. Higher-order nonholonomic systems are shown to be strongly accessible and, under certain conditions, small time locally controllable at any equilibrium. There are important examples of higher-order nonholonomic systems that are asymptotically stabilizable via smooth feedback, including space vehicles with multiple slosh modes and Prismatic-Prismatic-Revolute (PPR) robots moving open liquid …
Nonlinear Control For Dual Quaternion Systems,
2013
Embry-Riddle Aeronautical University
Nonlinear Control For Dual Quaternion Systems, William D. Price
Doctoral Dissertations and Master's Theses
The motion of rigid bodies includes three degrees of freedom (DOF) for rotation, generally referred to as roll, pitch and yaw, and 3 DOF for translation, generally described as motion along the x, y and z axis, for a total of 6 DOF. Many complex mechanical systems exhibit this type of motion, with constraints, such as complex humanoid robotic systems, multiple ground vehicles, unmanned aerial vehicles (UAVs), multiple spacecraft vehicles, and even quantum mechanical systems. These motions historically have been analyzed independently, with separate control algorithms being developed for rotation and translation. The goal of this research is to study …
Human Intention Recognition Based Assisted Telerobotic Grasping Of Objects In An Unstructured Environment,
2013
University of South Florida
Human Intention Recognition Based Assisted Telerobotic Grasping Of Objects In An Unstructured Environment, Karan Hariharan Khokar
USF Tampa Graduate Theses and Dissertations
In this dissertation work, a methodology is proposed to enable a robot to identify an object to be grasped and its intended grasp configuration while a human is teleoperating a robot towards the desired object. Based on the detected object and grasp configuration, the human is assisted in the teleoperation task. The environment is unstructured and consists of a number of objects, each with various possible grasp configurations. The identification of the object and the grasp configuration is carried out in real time, by recognizing the intention of the human motion. Simultaneously, the human user is assisted to preshape over …
Investigation On The Mobile Robot Navigation In An Unknown Environment,
2013
Edith Cowan University
Investigation On The Mobile Robot Navigation In An Unknown Environment, Ahmed S. Khusheef
Theses: Doctorates and Masters
Mobile robots could be used to search, find, and relocate objects in many types of manufacturing operations and environments. In this scenario, the target objects might reside with equal probability at any location in the environment and, therefore, the robot must navigate and search the whole area autonomously, and be equipped with specific sensors to detect objects. Novel challenges exist in developing a control system, which helps a mobile robot achieve such tasks, including constructing enhanced systems for navigation, and vision-based object recognition. The latter is important for undertaking the exploration task that requires an optimal object recognition technique.
In …
Mapping And Visualizing Ancient Water Storage Systems With An Rov – An Approach Based On Fusing Stationary Scans Within A Particle Filter,
2012
California Polytechnic State University, San Luis Obispo
Mapping And Visualizing Ancient Water Storage Systems With An Rov – An Approach Based On Fusing Stationary Scans Within A Particle Filter, William D. Mcvicker
Master's Theses
This paper presents a new method for constructing 2D maps of enclosed un- derwater structures using an underwater robot equipped with only a 2D scanning sonar, compass and depth sensor. In particular, no motion model or odometry is used. To accomplish this, a two step offline SLAM method is applied to a set of stationary sonar scans. In the first step, the change in position of the robot between each consecutive pair of stationary sonar scans is estimated using a particle filter. This set of pair wise relative scan positions is used to create an estimate of each scan’s position …
Low Cost Neurochairs,
2012
California Polytechnic State University, San Luis Obispo
Low Cost Neurochairs, Frankie Pike
Master's Theses
Electroencephalography (EEG) was formerly confined to clinical and research settings with the necessary hardware costing thousands of dollars. In the last five years a number of companies have produced simple electroencephalograms, priced below $300 and available direct to consumers. These have stirred the imaginations of enthusiasts and brought the prospects of "thought-controlled" devices ever closer to reality. While these new devices were largely targeted at video games and toys, active research on enabling people suffering from debilitating diseases to control wheelchairs was being pursued. A number of neurochairs have come to fruition offering a truly hands-free mobility solution, but whether …
Evolving Expert Agent Parameters For Capture The Flag Agent In Xpilot,
2012
Connecticut College
Evolving Expert Agent Parameters For Capture The Flag Agent In Xpilot, Gary Parker, Sarah Penrose
Computer Science Faculty Publications
Xpilot is an open source, 2d space combat game. Xpilot-AI allows a programmer to write scripts that control an agent playing a game of Xpilot. It provides a reasonable environment for testing learning systems for autonomous agents, both video game agents and robots. In previous work, a wide range of techniques have been used to develop controllers that are focused on the combat skills for an Xpilot agent. In this research, a Genetic Algorithm (GA) was used to evolve the parameters for an expert agent solving the more challenging problem of capture the flag.
Evolving Predator Control Programs For An Actual Hexapod Robot Predator,
2012
Connecticut College
Evolving Predator Control Programs For An Actual Hexapod Robot Predator, Gary Parker, Basar Gulcu
Computer Science Faculty Publications
In the development of autonomous robots, control program learning systems are important since they allow the robots to adapt to changes in their surroundings. Evolutionary Computation (EC) is a method that is used widely in learning systems. In previous research, we used a Cyclic Genetic Algorithm (CGA), a form of EC, to evolve a simulated predator robot to test the effectiveness of a learning system in the predator/prey problem. The learned control program performed search, chase, and capture behavior using 64 sensor states relative to the nearest obstacle and the target, a simulated prey robot. In this paper, we present …
Designing Autonomous Robot Missions With Performance Guarantees,
2012
Fordham University
Designing Autonomous Robot Missions With Performance Guarantees, Damian M. Lyons, Ronald Arkin, Prem Nirmal, Shu Jiang
Faculty Publications
This paper describes the need and methods required to construct an integrated software verification and mission specification system for use in robotic missions intended for counter-weapons of mass destruction (c-WMD) operations, as part of a 3-year effort for the Defense Threat Reduction Agency. The overall system architecture is described. The principal tool for verification is a process algebra, PARS, based on port automata theory. PARS is introduced, emphasizing its ability to represent probabilistic programs and uncertain and dynamic environments, followed by the analysis of mission properties for an example robotic mission.
Intelligent Behavioral Action Aiding For Improved Autonomous Image Navigation,
2012
Air Force Institute of Technology
Intelligent Behavioral Action Aiding For Improved Autonomous Image Navigation, Kwee Guan Eng
Theses and Dissertations
In egomotion image navigation, errors are common especially when traversing areas with few landmarks. Since image navigation is often used as a passive navigation technique in Global Positioning System (GPS) denied environments; egomotion accuracy is important for precise navigation in these challenging environments. One of the causes of egomotion errors is inaccurate landmark distance measurements, e.g., sensor noise. This research determines a landmark location egomotion error model that quantifies the effects of landmark locations on egomotion value uncertainty and errors. The error model accounts for increases in landmark uncertainty due to landmark distance and image centrality. A robot then uses …
Isus - An Autonomous Off-Road Balancing Robot - High Level Software And Components Implementation,
2012
California Polytechnic State University - San Luis Obispo
Isus - An Autonomous Off-Road Balancing Robot - High Level Software And Components Implementation, Kent Williams
Computer Engineering
The ISUS Mobile Robot is a balancing off-road mobile robotic vehicle capable of driving while balancing on two wheels in rough and changing terrain. The robot can be operated over WI-FI via a computer.
Cpe Senior Project Final Report: Roborodentia 2012 - Team Street Sweeper,
2012
California Polytechnic State University - San Luis Obispo
Cpe Senior Project Final Report: Roborodentia 2012 - Team Street Sweeper, Jason Miller, David Pascale
Computer Engineering
The Street Sweeper was a multi-disciplinary, autonomous robotics project constructed to compete in Cal Poly's Roborodentia XVII in 2012. The goal of the competition was to collect painted cat food cans in the team's goal area, with bonus points for stacking the cans. Street Sweeper was very much a budget robot, but due to good planning and strategy, managed to place 2nd in the competition.
Riley The Cat,
2012
California Polytechnic State University - San Luis Obispo
Riley The Cat, Nicholas Zankich
Computer Engineering
There are many toys that exist that are comfort objects. Generally these are toys that are soft such as blankets, stuffed animals, and pillows. Robotic toys also exist such as games, interactive books, and instruments. There exists a crossover market that includes Furbys, Tomagachi pets, and Fur Real Friends. While being very popular, I believe that this crossover isn’t perfect, and that there is a lot of room for improvement. Riley (Figure 1) was created to make something that is both completely a robot and a comfort object.
