Browsing Undergraduate Research Scholars Capstone (2006–present) by Author "Amato, Nancy M"

Now showing items 1-7 of 7

    • BLIND RRT: A PROBABILISTICALLY COMPLETE, DISTRIBUTED RRT 
      Rodriguez Villanueva, Cesar Adolfo (2013-02-06)
      Rapidly-Exploring Random Trees (RRTs) have been successful at finding feasible solutions for high-dimensional problems. With motion planning becoming more computationally de- manding, we turn to parallel motion planning ...
    • Clearance Map for the Application of Workspace Skeleton-biased Motion Planning 
      Li, Qingqing (2017-05-10)
      Motion planning is the problem of finding a valid path for a moveable object from a start to a goal state. Current state-of-the-art sampling based planners are able to solve a variety of problems. Sometimes, it is difficult ...
    • Improving Decoy Databases for Protein Folding Algorithms 
      Lindsey, Aaron Paul (2013-09-24)
      Predicting protein structures and simulating protein folding motions are two of the most important problems in computational biology today. Modern folding simulation methods rely on a scoring function which attempts to ...
    • Managing Temporal Robot Constraints using Reachable Volumes 
      Yang, Everett Siyan
      This project focuses on planning the motion for high degree of freedom manipulator robots under dynamic (or temporal) constraints. Manipulator robots are widely used in industry and are important because they can do jobs ...
    • Medial-Axis Biased Rapidly-Exploring Random Trees 
      Greco, Evan (2012-05-09)
      RRTs (Rapidly-Exploring Random Trees) have shown wide applications in robotics. RRTs are a type of sampling-based motion planners that expand to fill the space starting from one or more root configurations. RRTs are excellent ...
    • Neural Network Approach to Feature Sensitive Motion Planning 
      Medina Vargas, Jose Andres (2013-09-26)
      Motion planning (MP) is the problem of finding a valid path (e.g., collision free) from a start to a goal state for a movable object. MP is a complex problem with a myriad of applications, ranging from robotics, to ...
    • Tools for User Modification of Optimal Roadmaps 
      Julian, Nicole Violet (2013-09-26)
      Robotic motion planning is a ubiquitous field of study, with innumerable applications in sci- ence, engineering, and beyond. At its core, however, motion planning is infeasible for many complex problems. Sampling-based ...