[PDF][PDF] Classic and heuristic approaches in robot motion planning-a chronological review
E Masehian, D Sedighizadeh - World Academy of Science …, 2007 - academia.edu
This paper reviews the major contributions to the Motion Planning (MP) field throughout a 35-
year period, from classic approaches to heuristic algorithms. Due to the NP-Hardness of the …
year period, from classic approaches to heuristic algorithms. Due to the NP-Hardness of the …
An efficient neural network approach to dynamic robot motion planning
In this paper, a biologically inspired neural network approach to real-time collision-free
motion planning of mobile robots or robot manipulators in a nonstationary environment is …
motion planning of mobile robots or robot manipulators in a nonstationary environment is …
A neural network approach to complete coverage path planning
Complete coverage path planning requires the robot path to cover every part of the
workspace, which is an essential issue in cleaning robots and many other robotic …
workspace, which is an essential issue in cleaning robots and many other robotic …
Sensory-based motion planning with global proofs
I Kamon, E Rivlin - IEEE transactions on Robotics and …, 1997 - ieeexplore.ieee.org
We present DistBug, a new navigation algorithm for mobile robots which exploits range data.
The algorithm belongs to the Bug family, which combines local planning with global …
The algorithm belongs to the Bug family, which combines local planning with global …
Neural network approaches to dynamic collision-free trajectory generation
In this paper, dynamic collision-free trajectory generation in a nonstationary environment is
studied using biologically inspired neural network approaches. The proposed neural …
studied using biologically inspired neural network approaches. The proposed neural …
Optimal time-consuming path planning for autonomous underwater vehicles based on a dynamic neural network model in ocean current environments
M Chen, D Zhu - IEEE Transactions on Vehicular Technology, 2020 - ieeexplore.ieee.org
Path planning is a prerequisite for autonomous underwater vehicles to perform tasks
autonomously. Many shortest distance algorithms are applied, and ocean currents are …
autonomously. Many shortest distance algorithms are applied, and ocean currents are …
Real-time robot path planning based on a modified pulse-coupled neural network model
This paper presents a modified pulse-coupled neural network (MPCNN) model for real-time
collision-free path planning of mobile robots in nonstationary environments. The proposed …
collision-free path planning of mobile robots in nonstationary environments. The proposed …
A new range-sensor based globally convergent navigation algorithm for mobile robots
We present TangentBug, a new range-sensor based navigation algorithm for two degrees-of-
freedom mobile robots. The algorithm combines local reactive planning with globally …
freedom mobile robots. The algorithm combines local reactive planning with globally …
Real-time collision-free motion planning of a mobile robot using a neural dynamics-based approach
A neural dynamics based approach is proposed for real-time motion planning with obstacle
avoidance of a mobile robot in a nonstationary environment. The dynamics of each neuron …
avoidance of a mobile robot in a nonstationary environment. The dynamics of each neuron …
An efficient dynamic system for real-time robot-path planning
This paper presents a simple yet efficient dynamic-programming (DP) shortest path
algorithm for real-time collision-free robot-path planning applicable to situations in which …
algorithm for real-time collision-free robot-path planning applicable to situations in which …