CS 363 Robotics , Spring 2017

CS 363 Robotics , Spring 2013

Course Description Robotics addresses the problems of controlling and motivating mechanical devices to act intelligently in dynamic, unpredictable environments. Major topics will include: navigation and control, mapping and localization, robot perception using vision and sonar, kinematics and inverse kinematics, and robot simulation environments. To demonstrate these concepts we will be using m...

CS 363 Robotics , Fall 2009

Robotics addresses the problems of controlling and motivating mechanical devices to act intelligently in dynamic, unpredictable environments. Major topics will include: navigation and control, mapping and localization, robot perception using vision and sonar, kinematics and inverse kinematics, and robot simulation environments. To demonstrate these concepts we will be using medium sized mobile ...

Virtual Spring Mesh Algorithms for Control of Distributed Robotic Macrosensors ; CU-CS-996-05

We have developed a novel control mechanism that deploys a large number of inexpensive robots as a distributed remote sensing array, called a Distributed Robotic Macrosensor (DRM). A simple virtual spring mesh abstraction is used to provide fully distributed control that is both flexible and fault-tolerant. We describe and evaluate several algorithms for virtual spring mesh–based control and pr...

CS 3110 Spring 2017 Lecture 22 : Distributed Computing with Functional Processes continued

Envisioning the Roomba as AI Resource: A Classroom and Laboratory Evaluation

This paper investigates the suitability of iRobot’s Roomba as a low-cost robotic platform for use in AI research and education. Examining the sensing and actuation capabilities of the vacuum base led us to develop sensor and actuation models more accurate than those provided by the raw API. We validate these models with implementations of Monte Carlo Localization and FastSLAM, algorithms that s...