In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

The crypto market saw wild fluctuations this week, with Bitcoin hitting all-time highs above $124,00 before a sharp drop, triggered by the US’s higher-than-predicted PPI data. Despite mixed signals, ...

John Deere Path is designed to help operators navigate snow removal operations by providing a better sense of road edges and boundaries, when pre-mapped. It is an option for motor graders and other ...

QRB ROS Follow_Path Service is a ROS2 package suite designed for path following navigation on Qualcomm robotics platform. Key features include: Waypoint and virtual path management on the map. Path ...

This package provides a network bridge which enables the exchange of messages between ROS 1 and ROS 2. To use ros1_bridge, you must use a system where both ROS 1 and ROS 2 are installable and ...

Navigation over torturous terrain such as those in natural subterranean environments presents a significant challenge to field robots. The diversity of hazards, from large boulders to muddy or even ...

Abstract: Path planning and following rely deeply on mapping and object detection. In this paper, research into the application of these processes and the method to implement them are discussed and ...

Indoor navigation robots, which have been developed using a robot operating system, typically use a direct current motor as a motion actuator. Their control algorithm is generally complex and requires ...