Skip to main content Accessibility help
×
  1. Home
  2. Browse subjects
  3. Computer Science
  4. Content listing

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

48556 results in Computer Science

Page 531 of 2428

  • Fully Distributed Region-Reaching Control with Collision Avoidance for Multi-robot Systems

  • Jinwei Yu, Jinchen Ji, Zhonghua Miao, Jin Zhou
  • Journal:
    Robotica / Volume 39 / Issue 8 / August 2021
    Published online by Cambridge University Press:
    14 January 2021, pp. 1405-1416

  • This paper proposes a fully distributed continuous region-reaching controller for multi-robot systems which can effectively eliminate the chattering issues and the negative effects caused by discontinuities. The adaptive control gain technique is employed to solve the distributed region-reaching control problem. By performing Lyapunov function-based stability analysis, it is shown that all the robots can move cohesively within the desired region under the proposed distributed control algorithm. In addition, collision avoidance and velocity matching within the moving region can be guaranteed under properly designed control gains. Simulation examples are given to verify the capabilities of the proposed control method.

  • A Data Association Algorithm for SLAM Based on Central Difference Joint Compatibility Criterion and Clustering

  • Dan Liu
  • Journal:
    Robotica / Volume 39 / Issue 9 / September 2021
    Published online by Cambridge University Press:
    14 January 2021, pp. 1674-1691

  • A data association algorithm for simultaneous localization and mapping (SLAM) based on central difference joint compatibility (CDJC) criterion and clustering is proposed to obtain the data association results. Firstly, CDJC criterion is designed to calculate joint Mahalanobis distance. Secondly, ordering points to identify the clustering structure is used to divide all observed features into several groups. Thirdly, CDJC branch and bound method is designed to be performed in each group. The results based on simulation data and benchmark dataset show that the proposed algorithm has low computational complexity and provide accurate association results for SLAM of mobile robot.

Page 531 of 2428