Fast Sequence Rejection for Multi-Goal Planning with Dubins Vehicle

2020 ◽  
Author(s):  
Jan Faigl ◽  
Petr Vana ◽  
Jan Drchal
Keyword(s):  
Dubins Vehicle ◽  
Goal Planning

Goal planning for adults with acquired brain injury: How clinicians talk about involving family

Brain Injury ◽  
2009 ◽  
Vol 23 (3) ◽  
pp. 192-202 ◽  
Author(s):  
William M. M. Levack ◽  
Richard J. Siegert ◽  
Sarah G. Dean ◽  
Kath M. McPherson
Keyword(s):  
Brain Injury ◽  
Acquired Brain Injury ◽  
Goal Planning

scholarly journals ON SAMPLING BASED METHODS FOR THE DUBINS TRAVELING SALESMAN PROBLEM WITH NEIGHBORHOODS

2015 ◽  
Vol 2 (2) ◽  
pp. 57-61
Author(s):  
Petr Váňa ◽  
Jan Faigl
Keyword(s):  
Path Planning ◽  
Traveling Salesman Problem ◽  
Traveling Salesman ◽  
Computational Time ◽  
Solution Quality ◽  
Goal Region ◽  
Dubins Vehicle ◽  
Proposed Modification ◽  
Dubins Traveling Salesman Problem

In this paper, we address the problem of path planning to visit a set of regions by Dubins vehicle, which is also known as the Dubins Traveling Salesman Problem Neighborhoods (DTSPN). We propose a modification of the existing sampling-based approach to determine increasing number of samples per goal region and thus improve the solution quality if a more computational time is available. The proposed modification of the sampling-based algorithm has been compared with performance of existing approaches for the DTSPN and results of the quality of the found solutions and the required computational time are presented in the paper.

scholarly journals Improved Performance of Asymptotically Optimal Rapidly Exploring Random Trees

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Beth Boardman ◽  
Troy Harden ◽  
Sonia Martínez
Keyword(s):  
Degrees Of Freedom ◽  
Metric Spaces ◽  
Dynamic Environments ◽  
Random Trees ◽  
Asymptotically Optimal ◽  
Euclidean Metric ◽  
The Third ◽  
Dubins Vehicle ◽  
Improved Performance ◽  
Dubins Vehicles

Three algorithms that improve the performance of the asymptotically optimal Rapidly exploring Random Tree (RRT*) are presented in this paper. First, we introduce the Goal Tree (GT) algorithm for motion planning in dynamic environments where unexpected obstacles appear sporadically. The GT reuses the previous RRT* by pruning the affected area and then extending the tree by drawing samples from a shadow set. The shadow is the subset of the free configuration space containing all configurations that have geodesics ending at the goal and are in conflict with the new obstacle. Smaller, well defined, sampling regions are considered for Euclidean metric spaces and Dubins' vehicles. Next, the Focused-Refinement (FR) algorithm, which samples with some probability around the first path found by an RRT*, is defined. The third improvement is the Grandparent-Connection (GP) algorithm, which attempts to connect an added vertex directly to its grandparent vertex instead of parent. The GT and GP algorithms are both proven to be asymptotically optimal. Finally, the three algorithms are simulated and compared for a Euclidean metric robot, a Dubins' vehicle, and a seven degrees-of-freedom manipulator.

scholarly journals Ebonics: The Debate Which Never Happened

1999 ◽  
Vol 22 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Barbara Birch
Keyword(s):  
United States ◽  
Language Ideologies ◽  
Language Planning ◽  
The United States ◽  
The Status ◽  
Planning Status ◽  
Goal Planning ◽  
Language Prejudice

The thesis of this paper is that no substantive and impartial debate about the pedagogical value of using Ebonics in the classroom could be held in the United States media because America's prescriptive attitude towards Ebonics does not allow fair and objective consideration of the issue. In presenting this theme I will discuss language ideologies in general and prescription in particular as a common attitude towards language. Prescription with respect to Ebonics usually takes the form of language prejudice. I will conclude with an introduction to one area of language planning, status planning, in which language planners try to improve the status of a dialect or language by selecting a goal, planning the necessary research, and devising a marketing or diffusion plan.

Overview of Goal Planning

2019 ◽  
pp. 51-58
Author(s):  
Dennis C. Daley ◽  
Antoine Douaihy
Keyword(s):  
Substance Use ◽  
Family Therapy ◽  
Rehabilitation Program ◽  
Support Programs ◽  
Chat Room ◽  
Health And Wellness ◽  
Mutual Support ◽  
Online Recovery ◽  
P Recovery ◽  
Goal Planning

Recovery is a process of change in which clients improve their health and wellness. They set goals to work toward stopping substance use and learn skills to change themselves and their lifestyles so they can live substance-free. There are different paths to recovery, including individual, group, and/or family therapy; engaging in a treatment program such as a residential or nonresidential rehabilitation program; taking medications for addiction to alcohol, opioids, or nicotine; engaging in mutual support programs; participating in chat room discussions or online recovery meetings; using support from other people; and participating in community or self-growth activities that help clients sustain recovery. The goals of this chapter are for clients to begin to set and prioritize their recovery goals and to learn about the different paths and components of recovery.

scholarly journals A Client Oriented Scale of Improvement in Tinnitus for Therapy Goal Planning and Assessing Outcomes

2019 ◽  
Vol 30 (04) ◽  
pp. 327-337 ◽  
Author(s):  
Grant D. Searchfield
Keyword(s):  
Convergent Validity ◽  
Treatment Success ◽  
Specific Treatment ◽  
Treatment Goals ◽  
Retrospective Evaluation ◽  
Functional Index ◽  
Tinnitus Treatment ◽  
The University ◽  
Goal Planning ◽  
Audiologic Rehabilitation

AbstractThere is a need to develop methods to help clinicians work with clients to select and personalize tinnitus therapies. The use of validated measures to determine treatment success is also essential for research and clinical practice. A goal planning method widely used in audiologic rehabilitation is the client oriented scale of improvement (COSI). A modified version of the COSI has been used to identify tinnitus treatment goals and outcomes (client oriented scale of improvement in tinnitus [COSIT]).The aims of this study were to identify treatment goals in a clinic sample and ascertain the convergent validity of the COSIT to three widely used standardized questionnaires.A retrospective evaluation of client treatment goals using thematic analysis and correlational analysis of secondary research data comparing the COSIT to tinnitus handicap questionnaire (THQ), tinnitus handicap inventory (THI), and tinnitus functional index (TFI).One hundred and twenty-two adult patients and research participants attending the University of Auckland Hearing and Tinnitus Clinic.Specific treatment goals were categorized into 11 themes. The most common treatment goals (>10% of responses) were: (1) Reducing tinnitus’ effects on Hearing. (2) Improved wellbeing and being less depressed. (3) Coping with or controlling the tinnitus. (4) Managing the effect of the environment (context) on tinnitus. (5) Improving sleep. (6) Understanding tinnitus. Individuals differed in their complaints and priorities for treatment. The COSIT showed moderate convergent validity with the THQ, THI, and TFI indicating that the total scores measured similar constructs.The COSIT is a pragmatic method for determining tinnitus treatment goals and priorities in a format that should be familiar to audiologists.

Sign in / Sign up

Export Citation Format

Share Document