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Reinforcement learning for robot research: A comprehensive review and open issues
T Zhang, H Mo - International Journal of Advanced Robotic …, 2021 - journals.sagepub.com
Applying the learning mechanism of natural living beings to endow intelligent robots with
humanoid perception and decision-making wisdom becomes an important force to promote …
humanoid perception and decision-making wisdom becomes an important force to promote …
[HTML][HTML] A consolidated review of path planning and optimization techniques: Technical perspectives and future directions
In this paper, a review on the three most important communication techniques (ground,
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …
A comprehensive study for robot navigation techniques
An intelligent autonomous robot is required in various applications such as space,
transportation, industry, and defense. Mobile robots can also perform several tasks like …
transportation, industry, and defense. Mobile robots can also perform several tasks like …
[PDF][PDF] Mobile robot navigation and obstacle avoidance techniques: A review
Mobile robot is an autonomous agent capable of navigating intelligently anywhere using
sensor-actuator control techniques. The applications of the autonomous mobile robot in …
sensor-actuator control techniques. The applications of the autonomous mobile robot in …
Path planning for autonomous underwater vehicles under the influence of ocean currents based on a fusion heuristic algorithm
Recently, research on path planning for the autonomous underwater vehicles (AUVs) has
developed rapidly. Heuristic algorithms have been widely used to plan a path for AUV, but …
developed rapidly. Heuristic algorithms have been widely used to plan a path for AUV, but …
Multi-objective path planning for unmanned surface vehicle with currents effects
This paper investigates the path planning problem for unmanned surface vehicle (USV),
wherein the goal is to find the shortest, smoothest, most economical and safest path in the …
wherein the goal is to find the shortest, smoothest, most economical and safest path in the …
Path planning for mobile robot using self-adaptive learning particle swarm optimization
G Li, W Chou - Science China Information Sciences, 2018 - Springer
As a challenging optimization problem, path planning for mobile robot refers to searching an
optimal or near-optimal path under different types of constrains in complex environments. In …
optimal or near-optimal path under different types of constrains in complex environments. In …
[HTML][HTML] Mobile robot path planning based on bi-population particle swarm optimization with random perturbation strategy
Path planning for mobile robots poses a challenging optimization problem, requiring the
discovery of a near-optimal path within diverse constraints. Conventional particle swarm …
discovery of a near-optimal path within diverse constraints. Conventional particle swarm …
Interval type-2 fuzzy logic for dynamic parameter adaptation in a modified gravitational search algorithm
In this paper a method for dynamically adjusting parameters in meta-heuristics based on
interval type-2 fuzzy logic is proposed. Nowadays meta-heuristic algorithms have become a …
interval type-2 fuzzy logic is proposed. Nowadays meta-heuristic algorithms have become a …
jFuzzyLogic: a java library to design fuzzy logic controllers according to the standard for fuzzy control programming
Abstract Fuzzy Logic Controllers are a specific model of Fuzzy Rule Based Systems suitable
for engineering applications for which classic control strategies do not achieve good results …
for engineering applications for which classic control strategies do not achieve good results …