This paper presents a novel real-time obstacle avoidance and navigation technique called
as “Free-configuration Eigenspace”(FCE). The FCE enables an autonomous robot to detect …

This paper presents a comparative study on path planning techniques for autonomous
mobile robots in a cluttered environment. It investigates four well known path planning …

This paper presents the implementation of a novel technique for sensor based path planning
of autonomous mobile robots. The proposed method is based on finding free-configuration …

In this paper, we present an integrated approach for path planning and control for
autonomous mobile robots. Typically, path planners pass on the trajectory coordinates to a …

This paper addresses the problem of avoiding dynamic obstacles while following the
learned trajectory through non-point based maps directly through laser data. The geometric …

This paper presents a trajectory learning algorithm for sonar based LEGO Mindstorm NXT
differential drive robot. The trajectory learning technique utilizes vehicle odometry and …

Robotic path planning and navigation algorithms enable autonomous mobile robots to
navigate complex environments. These algorithms allow robots to be deployed in search …

Lithium-ion batteries have gained immense popularity in electric vehicles (EVs) due to their
high energy density, offering an extended driving range. This has made them the preferred …

This paper addresses the problem of robotics trajectory building for efficient navigation and
consequently exploration. A concept of beta-eigenvector has been introduced to find an …

This paper addresses the problem of moving obstacle detection for autonomous mobile
robots in unknown urban environments through the fusion of (vehicle-mounted) forward …