Motion planning algorithms have seen considerable progress and expansion across various
domains of science and technology during the last few decades, where rapid advancements …

This paper proposes a new novel approach to find an optimal path for a mobile robot in a
two‐dimensional environment. Finding the optimal path is done using the Bees Algorithm …

Hilbert mapping is an efficient technique for building continuous occupancy maps from
depth sensors such as LiDAR in static environments. However, to make the map adaptable …

This paper presents a solution to plan a path using a new form of the Bees Algorithm for a 2-
Wheeled Differential Drive mobile robot. This robot is used in an indoor environment. The …

Uncertainty is prevalent in robotics. Due to measurement noise and complex dynamics, we
cannot estimate the exact system and environment state. Since conservative motion …

Understanding the dynamics of an environment, such as the movement of humans and
vehicles, is crucial for agents to achieve long-term autonomy in urban environments. This …

This research work presents a modified form of the Bees Algorithm for mobile robotpath
planning. This modification is based on an alternative method to generate the initial …

Autonomous exploration is a complex task where the robot moves through an unknown
environment with the goal of mapping it. The desired output of such a process is a sequence …

We consider expected risk minimization problems when the range of the estimator is
required to be nonnegative, motivated by the settings of maximum likelihood estimation …

Path planners are generally categorised as either trajectory optimisers or sampling-based
planners. The latter is the predominant planning paradigm for occupancy maps. Most …