A globally converging reactive algorithm for robot navigation in scenes densely cluttered with moving and deforming obstacles

[1]  F. Clarke.  Optimization And Nonsmooth Analysis , 1983 .

[2]  Paolo Fiorini,et al.  Motion Planning in Dynamic Environments Using Velocity Obstacles , 1998, Int. J. Robotics Res..

[3]  Christian Laugier,et al.  Navigation Among Moving Obstacles Using the NLVO: Principles and Applications to Intelligent Vehicles , 2005, Auton. Robots.

[4]  I.I. Hussein,et al.  Real Time Feedback Control for Nonholonomic Mobile Robots With Obstacles , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[5]  Ellips Masehian,et al.  Robot Motion Planning in Dynamic Environments with Moving Obstacles and Target , 2007 .

[6]  Andrey V. Savkin,et al.  A biologically inspired method for robot navigation in a cluttered environment , 2009, Robotica.

[7]  Zhihua Qu,et al.  Reactive target-tracking control with obstacle avoidance of unicycle-type mobile robots in a dynamic environment , 2010, Proceedings of the 2010 American Control Conference.

[8]  Antonella Ferrara,et al.  Time-optimal sliding-mode control of a mobile robot in a dynamic environment , 2011 .

[9]  S. Tang,et al.  A review of control architectures for autonomous navigation of mobile robots , 2011 .

[10]  Andrey V. Savkin,et al.  Real-time kinematic navigation of a mobile robot among moving obstacles with guaranteed global convergence , 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

[11]  Andrey V. Savkin,et al.  A globally converging algorithm for reactive robot navigation among moving and deforming obstacles , 2015, Autom..