Pardon My Tech: Finding your robotic mower readiness score

Most golf course superintendents would agree that autonomous and robotic mowing is the future. But right now, the conversation around it is overwhelming, noisy and, frankly, exhausting.

Magazines, trade shows, presentations, dealers, manufacturers and, yes, even this column, are all talking about new autonomous mowers.

But how can a superintendent determine if robotic mowing is a viable option for their course without sitting through another marketing pitch? I’ve been working on a “robotic mower readiness score,” breaking down eight barriers to full-course adoption of autonomous mowers.

Rate your course on a scale from one to 10 in each category, then add up your total. A higher score means you have fewer barriers to adoption, while lower suggests significant infrastructure or operational changes will be necessary.

Power infrastructure

Self-docking robotic mowers depend on well-placed charging stations since efficiency drops if they travel long distances to recharge. Many courses splice power from irrigation controllers to adapt on course. Take advantage of existing outlets in pro shops, maintenance buildings, halfway houses or range huts for initial robot placement.

1 = Localized power
10 = Widespread access

Connectivity and cellular coverage

Strong cellular coverage allows mowers to communicate effectively with their control systems. Workarounds exist for weak signal areas but those typically require more infrastructure .

1 = Poor coverage
10 = Strong signal

Course layout and obstacles

A well-connected course allows for efficient mowing with minimal travel time between zones. If the holes and mowing areas are spread out, or if there are heavy obstacles such as trees, buildings, steep slopes and leaf litter, you may face logisitical issues or need more units. Physical obstacles and slopes can make autonomous mowers ineffecient.

1 = Layout and obstacle challenges
10 = Connected, flat and open

Play and traffic

The ability to run autonomous mowers depends on when and how often you can mow. High player traffic and frequent events can limit operating hours, whereas certain courses allow for nearly around-the-clock mowing.

1 = Heavy restrictions
10 = Open schedule

Surface and conditions

Poorly draining areas or uneven surfaces can cause mowers to get stuck and need help. Identifying problem areas early can help prevent downtime. Driving ranges are often the worst offenders.

1 = Difficult terrain
10 = Smooth and dry

Boundry management and complexity

The more complex your course’s mowing zones, no-go areas and obstacles (stakes, benches, signage, etc.), the more initial setup and ongoing monitoring your robots will require, which can lead
to inefficiencies.

1 = High complexity
10 = Free and clear

Security and vandalism risk

Public courses and high-traffic areas are more vulnerable to theft or vandalism. Secure storage and strategic operating hours can help mitigate risk at the cost of efficiency. Some robots with “drop and go” technology are better suited for these situations.

1 = High risk
10 = Low risk

Maintenance and service

Some superintendents will need a full-service support model to maintain this new technology, while others will want to develop in-house expertise for repairs and troubleshooting. Early adopters with a willingness for hands-on knowledge will have an easier transition and be well-prepared for the future.

1 = Needs full-service
10 = In-house expert

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