Robots in Robotic Parking Systems

As you drive up to your destination, the robotic parking system silently and invisibly analyzes you and your car. Before you get out, it identifies you as likely male and likely under 35. A hidden door in a nearby kiosk opens and out comes your personal robotic parking system robot…an attractive female android valet. “She” takes your keys, delivers a receipt to your smartphone and drives off in your car.

Wouldn’t that be an experience? Perhaps it’s too futuristic…or, maybe not.

The robots used in robotic parking systems today don’t wear miniskirts or makeup nor do they have a “gender”. Robotic parking system robots come in a variety of configurations and with a variety of functions.

Robotic parking systems, also known as automated parking systems or APS, use robots powered to perform one or more of the following tasks:

  • Lift up & set down a car
  • Rotate a car (change its direction)
  • Transport a car (vertically, horizontally or both)
  • Place a car in a location (e.g. all of the above…lift, rotate, transport, set down)

Robots used in robotic parking systems may be of an integrated type or a fully or semi-autonomous type. In the integrated type, one or more robots similar to those found in automated storage and retrieval systems (ASRS or AS/RS) are used. Such robots are usually powered from a central power source and may be electromechanical, hydraulic, pneumatic or some combination of all of these. Lifting and transporting systems usually constrain the motions of the robots in an integrated robotic parking system.

In an autonomous type of robotic parking system, robots are free to move with minimal or no physical constraints such as tracks, rails, etc. Rechargeable batteries are the usual power source. The robots utilize various types of sensors and communication systems to determine their position, their orientation and the location of features and objects in their environment. A semi-autonomous robot relies upon signals from the robotic parking control system to know which way to move, how far to move and when to pick up or set down a car, etc. On the other hand, the fully autonomous robot might need to be told only to pick up a car at location “X” and park it in location “Y”. Onboard sensors, artificial intelligence and communications permit the robot in the fully autonomous robotic parking system to plot its own path from point to point.

In the end, the terms “robotic car parking” and “robotic parking systems” tell us very little about the technology inside an automated parking system. Although, you can be certain you won’t be seeing your robot wearing a miniskirt any time soon.

Conventional or automated parking solution?

Numerous case studies and reports demonstrate that automated parking systems are far less costly than multistory parking garages in underground car parking applications. The innovative APS need only about one-third (⅓) to one-half (½) of the volume compared to conventional multistory parking garages. Prohibiting drivers, passengers and the public from the car parking area makes possible the reduced volume of an APS. Besides eliminating the need for driving lanes, ramps, elevators, public access, etc. the APS also minimizes or eliminates the volume and cost associated with stairs, fire exits, expensive lighting and huge ventilation systems. Furthermore, the significantly reduced volume translates into reduced depth, which is important as excavation costs rise with each meter in depth.

The bottom line is that automated parking systems make underground parking in residential complexes much less expensive and more practical.

   

Skyline APS underground parking


About Skyline Parking AG
Skyline Parking

Skyline Parking AG designs and supplies the most space-efficient and fastest fully automated parking systems. Skyline’s systems provide high returns while being an environmentally and user-friendly answer to the growing scarcity and cost of urban space, worldwide. The broad range of products, means that Skyline Parking has a solution for virtually any location, problem and requirement.

 

 

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