Robotics Commons^™

Bruno The Robotic Bear, Aaron Brauner, Ian Panzer

Computer Engineering

Creating homemade robots are becoming a popular hobby among engineers. With the dramatic reduction in costs over the past few decades, it is finally possible to build a personal automated mailbox. Microcontrollers needed to function as the brains of the robot are also becoming powerful enough that relatively complicated instructions could be programmed into the robot to handle a plethora of sensors and peripherals. In order to demonstrate how the Computer Engineering department models the synthesis of computer science and electrical engineering, the topic chosen was robotics, specifically, a stuffed bear robot.

The microcontroller chosen was the Arduino Mega 2560 …

Flarebot - Analysis Of An Autonomous Robot, Sanat S. Sahasrabudhe

Computer Engineering

Autonomous robots are increasing in popularity for educational, research, and household purposes. This report analyzes the design and functionality of one such example, called FlareBot, which is designed to self-navigate and stack cans. Specifically, the robot is designed to follow a fixed path for navigation, and stack any cans it comes across. Once a maximum number of cans is stacked, the robot releases them and restarts the process. The design is achieved using three DC motors, two servo motors, one line sensor, and one infrared sensor. Designing autonomous robots is a strong test of the engineering design process, which includes …

Automatic Site Reconstruction With A Mobile Robot And Scanning Laser Proximity Sensor, Erik Nelson, Sean Willis, Nathan Lucero

Computer Engineering

Leading research in robotics, especially in the areas of computer vision, planning, and probabilistic learning, require a mobile robot platform to program. The design and construction of such a platform is a laborious task, calling upon knowledge from many branches of engineering. Additionally, hot research topics in robotics such as vision-based Simultaneous Localization and Mapping (SLAM), advanced trajectory planning algorithms, and adaptive control for collision avoidance contain algorithms that build upon a localization and mapping architecture which is time-consuming to program in itself. To bring future senior project teams from Cal Poly's computer engineering and computer science departments closer to …

Modeling A Sensor To Improve Its Efficacy, Nabin K. Malakar, Daniil Gladkov, Kevin H. Knuth

Physics Faculty Scholarship

Robots rely on sensors to provide them with information about their surroundings. However, high-quality sensors can be extremely expensive and cost-prohibitive. Thus many robotic systems must make due with lower-quality sensors. Here we demonstrate via a case study how modeling a sensor can improve its efficacy when employed within a Bayesian inferential framework. As a test bed we employ a robotic arm that is designed to autonomously take its own measurements using an inexpensive LEGO light sensor to estimate the position and radius of a white circle on a black field. The light sensor integrates the light arriving from a …

Performance Verification For Behavior-Based Robot Missions, Damian M. Lyons, Ronald Arkin, Shu Jiang, Tsung-Ming Liu, Paramesh Nirmal, J. Deeb

Faculty Publications

Certain robot missions need to perform predictably in a physical en-vironment that may only be poorly characterized in advance. This requirement raises many issues for existing approaches to software verification. An approach based on behavior-based controllers in a process-algebra framework is proposed by Lyons et al [15] to side-step state combinatorics. In this paper we show that this approach can be used to generate a Dynamic Bayesian Network for the problem, and that verification is reduced to a filtering problem for this network. We present validation results for the verification of a multiple waypoint robot mission using this approach.

Robotic Kinect Bear, Spencer Lines, Dennis Waldron, Sagiv Sheelo

Computer Engineering

The goal of this project was to create an interactive 53”-tall robotic teddy bear to showcase various aspects of Cal Poly’s computer engineering degree. The interactive element took the form of a Microsoft Kinect for Windows sensor, which provided body and face position tracking of the user. Using this sensor and various other elements, we successfully made a teddy bear which mirrors a user's face and arm positions in real-time.

An Analysis Of Simultaneous Localization And Mapping (Slam) Algorithms, Megan R. Naminski

Mathematics, Statistics, and Computer Science Honors Projects

This paper provides an introduction to two Simultaneous Localization and Mapping (SLAM) algorithms: EKF SLAM and Fast-SLAM. SLAM allows an autonomous robot to accurately map an unknown environment as well as locate itself within the environment. These algorithms work iteratively, by moving about the environment and extracting and observing various landmarks in the environment. EKF SLAM and Fast-SLAM solve the SLAM problem by using probabilities to control for errors in the robot's sensors. This paper provides a discussion of these two algorithms and compares their run times and the accuracy of the maps they produce.

Fusion Of Ranging Data From Robot Teams Operating In Confined Areas, Damian M. Lyons, Karma Shrestha, Tsung-Ming Liu

Faculty Publications

We address the problem of fusing laser ranging data from multiple mobile robots that are surveying an area as part of a robot search and rescue or area surveillance mission. We are specifically interested in the case where members of the robot team are working in close proximity to each other. The advantage of this teamwork is that it greatly speeds up the surveying process; the area can be quickly covered even when the robots use a random motion exploration approach. However, the disadvantage of the close proximity is that it is possible, and even likely, that the laser ranging …

A Cognitive Approach To Vision For A Mobile Robot, Paul Benjamin, Christopher Funk, Damian M. Lyons

Faculty Publications

We describe a cognitive vision system for a mobile robot. This system works in a manner similar to the human vision system, using saccadic, vergence and pursuit movements to extract information from visual input. At each fixation, the system builds a 3D model of a small region, combining information about distance, shape, texture and motion. These 3D models are embedded within an overall 3D model of the robot's environment. This approach turns the computer vision problem into a search problem, with the goal of constructing a physically realistic model of the entire environment. At each step, the vision system selects …

Cpe 200: Small Bear Project, David Burke, Devin Tang

Computer Engineering

CPE 200 is an elective course designed for sophomores in the Computer Engineering Department. This project was intended to design the class, such that, students will understand the skills a computer engineer develops and how to apply those skills.

A Software Tool For The Design Of Critical Robot Missions With Performance Guarantees, Damian M. Lyons, Ronald C. Arkin, Paramesh Nirmal, Shu Jiang, Tsung-Ming Liu

Faculty Publications

Deploying a robot as part of a counter-weapons of mass destruction mission demands that the robotic software operates with high assurance. A unique feature of robotic software development is the need to perform predictably in a physical environment that may only be poorly characterized in advance. In this paper, we present an approach to building high assurance software for robot missions carried out in uncertain environments. The software development framework and the verification algorithm, VIPARS, are described in detail. Results are presented for missions including motion and sensing uncertainty, interaction with obstacles, and the use of sensors to guide behavior.

Caddy: A 2005 Roborodentia Entry With Vision And Path Planning Abilities, Taylor Braun-Jones

Computer Engineering

Roborodentia is an autonomous robotics competition held each year during Cal Poly’s Open House. For the 2005 competition, robot entries needed to navigate a maze searching for three randomly placed golf balls, collect them, and then deposit the balls in the “nest” at the end of the maze. A newly added aspect for the 2005 competition included two bonus balls that were placed on a platform behind the wall in two predetermined corners of the maze.

Caddy is a robot that was entered into the 2005 Roborodentia competition. Caddy included a vision system that allowed searching for balls down untraveled …

Visual Homing With A Pan-Tilt Based Stereo Camera, Paramesh Nirmal, Damian M. Lyons

Faculty Publications

Visual homing is a navigation method based on comparing a stored image of the goal location and the current image (current view) to determine how to navigate to the goal location. It is theorized that insects, such as ants and bees, employ visual homing methods to return to their nest [1]. Visual homing has been applied to autonomous robot platforms using two main approaches: holistic and feature-based. Both methods aim at determining distance and direction to the goal location. Navigational algorithms using Scale Invariant Feature Transforms (SIFT) have gained great popularity in the recent years due to the robustness of …

Radar Based Collision Avoidance For Unmanned Aircraft Systems, Allistair A. Moses

Electronic Theses and Dissertations

Unmanned Aircraft Systems (UAS) have become increasingly prevalent and will represent an increasing percentage of all aviation. These unmanned aircraft are available in a wide range of sizes and capabilities and can be used for a multitude of civilian and military applications. However, as the number of UAS increases so does the risk of mid-air collisions involving unmanned aircraft. This dissertation aims present one possible solution for addressing the mid-air collision problem in addition to increasing the levels of autonomy of UAS beyond waypoint navigation to include preemptive sensor-based collision avoidance. The presented research goes beyond the current state of …

Reducing Communication Delay Variability For A Group Of Robots, Goncalo Martins

Electronic Theses and Dissertations

A novel architecture is presented for reducing communication delay variability for a group of robots. This architecture relies on using three components: a microprocessor architecture that allows deterministic real-time tasks; an event-based communication protocol in which nodes transmit in a TDMA fashion, without the need of global clock synchronization techniques; and a novel communication scheme that enables deterministic communications by allowing senders to transmit without regard for the state of the medium or coordination with other senders, and receivers can tease apart messages sent simultaneously with a high probability of success. This approach compared to others, allows simultaneous communications without …

Robot Team Formation Control Using Communication "Throughput Approach", Fatmazahra Ahmed Benhalim

Electronic Theses and Dissertations

In this thesis, we consider a team of robots forming a mobile robot network cooperating to accomplish a mission in an unknown but structured environment. The team has no a-priori knowledge of the environment. Robots have limited memory storage capabilities, not enough to map the environment. Each robot also has limited sensor capability and computational power. Due to the need to avoid obstacles and other environment effects, some robots get delayed from the rest. Using tracking controller, the robot team should follow the leader in a flexible formation shape without losing network connectivity, and that was achieved by monitoring the …

Navigation & Control Of An Automated Swath Surface Vessel For Bathymetric Mapping, Ketan Rasal

Mechanical Engineering Master's Theses

With the abundant amount of water on the earth, the study of underwater terrain plays an important role in the use and sustainability of marine resources. A wide variety of technical systems are used to collect such bathymetric data, and autonomous vehicles are being explored as a manner in which to make this process more cost-effective. Students in Santa Clara University's Robotic Systems Laboratory are contributing to this effort through the development of an autonomous SWATH boat that can create such maps. As part of this thesis work, the navigation and control system of this SWATH boat has been significantly …

Influence Of Task-Role Mental Models On Human Interpretation Of Robot Motion Behavior, Scott Ososky

Electronic Theses and Dissertations

The transition in robotics from tools to teammates has begun. However, the benefit autonomous robots provide will be diminished if human teammates misinterpret robot behaviors. Applying mental model theory as the organizing framework for human understanding of robots, the current empirical study examined the influence of task-role mental models of robots on the interpretation of robot motion behaviors, and the resulting impact on subjective ratings of robots. Observers (N = 120) were exposed to robot behaviors that were either congruent or incongruent with their task-role mental model, by experimental manipulation of preparatory robot task-role information to influence mental models (i.e., …

A Distributed Local-Leg Feedback Algorithm For Robust Walking On Uneven Terrain, Mayur Ramakant Palankar

USF Tampa Graduate Theses and Dissertations

Legged animals can traverse significantly more of the Earth's land mass than man-made wheeled and tracked vehicles~\cite{Anonymous67}. Their impressive mobility is largely due to multiple dexterous legs and the robust algorithms that coordinate and control them. A legged animal such as a squirrel can exhibit multiple locomotion modes such as walking, running and jumping and also multiple gaits or leg phase timings within each mode. A robot that could mimic this level of robust locomotion would be highly useful for planetary exploration, military reconnaissance, and time-critical search and rescue in cluttered or collapsed buildings.

A number of biological studies on …

Adaptive Nonlinear Control For Autonomous Ground Vehicles, William Spencer Black

Open Access Theses

We present the background and motivation for ground vehicle autonomy, and focus on uses for space-exploration. Using a simple design example of an autonomous ground vehicle we derive the equations of motion. After providing the mathematical background for nonlinear systems and control we present two common methods for exactly linearizing nonlinear systems, feedback linearization and backstepping. We use these in combination with three adaptive control methods: model reference adaptive control, adaptive sliding mode control, and extremum-seeking model reference adaptive control. We show the performances of each combination through several simulation results. We then consider disturbances in the system, and design …