ARATV is an autonomous load-carrying robot that can observe its surroundings autonomously, navigate in dynamic settings, and operate objects with accuracy. The robot will use advanced technologies such as computer vision, machine learning, robotic manipulation, and complex algorithms for perception, decision-making, and control. The autonomous load-carrying robot has the potential to dramatically improve the productivity and safety of load-handling operations in industries by automating load- handling chores.
The development of an autonomous load carrier robot
has the potential to revolutionize load-handling processes in various industries,
including logistics, warehousing, manufacturing, and construction. By automating
load-handling processes, companies can improve efficiency and productivity,
reduce safety risks to human workers, and minimize errors and inconsistencies in
load handling operations.
The decision-making system relied on advanced algorithms such as path planning,
motion control, and task planning to enable the robot to navigate and manipulate
objects autonomously. The control system relied on high-performance actuators and
feedback sensors to ensure accurate and precise load handling operations.