Engineers plan a Mars rover’s route in layers: people choose the destination, science stops and broad constraints; orbital maps define the long-range corridor; the rover’s cameras build a much closer picture of the ground; and onboard software adjusts the local path around hazards. Commands are checked on Earth before transmission because the Earth–Mars delay makes joystick-style driving impossible.
Why driving on Mars is a planning problem, not a steering problem
A rover cannot be driven continuously from a control room on Earth. Radio communication takes time to travel between the planets, and the delay varies with their positions. A team therefore plans a sequence of activities and a drive in advance, sends the commands, and waits for the rover to execute them and return engineering data.
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That does not mean the rover follows a completely fixed line. The ground team selects the destination and the route’s broad shape, while onboard navigation handles details that cannot be resolved confidently from orbit. This division lets humans make mission-level decisions and lets the rover react to rocks, slopes and ruts that appear only when it reaches them.
NASA describes Perseverance as having a capability engineers call “thinking while driving.” Its autonomy can inspect nearby terrain, make a three-dimensional map, and choose a safer local path while it continues toward a destination already selected by the mission team.
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1. Engineers start with a destination and a science plan
Science determines where the rover should go
A route is not optimized for distance alone. Planners schedule the drive alongside science activities: approaching a geologically interesting outcrop, examining a contact between rock layers, positioning the rover for a measurement, or reaching a location where samples can be collected. A route that is easy to drive but bypasses the mission’s most valuable observations may be a poor route.
Teams also account for rover health, power, communications, time of day and the amount of time needed to use instruments. The resulting plan specifies both movement and stops. Human specialists remain responsible for deciding which scientific targets are worth the mobility risk and for choosing the broad destination.
2. Orbital maps provide the long-range view
What engineers can learn before the rover arrives
Orbital imagery supplies the regional context that a rover’s navigation cameras cannot see. For a December 2025 Perseverance generative-AI planning demonstration, NASA used high-resolution HiRISE imagery from the Mars Reconnaissance Orbiter together with slope information derived from digital elevation models. Those data exposed patterns such as bedrock, outcrops, boulder fields and sand ripples.
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Orbital products help planners compare possible corridors, identify steep terrain and select locations where a route can be broken into manageable segments. They are not a complete safety map. A boulder can be hidden by image resolution, a shallow depression can be difficult to interpret, and the exact firmness of a surface may not be visible from orbit. The rover must reassess the ground at close range.
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3. The route is converted into waypoints and keep-out zones
Waypoints define a drive corridor
Human planners normally describe a drive with a series of waypoints rather than a single command such as “go to the hill.” NASA reports that waypoints in conventional rover plans are usually spaced no more than 330 feet (100 meters) apart. Each point gives the rover a nearer objective and makes it easier to monitor progress, divide a long drive into sections and revise the next segment if conditions change.
Constraints protect the rover and the mission
Plans can mark areas as keep-out zones and impose limits on what the rover may attempt. A corridor may be selected to avoid a steep flank, a field of large rocks, a deep trough or a region where the rover’s underside could contact the ground. Constraints also let engineers express preferences that are not visible as a simple line on a map, such as preserving a favorable approach angle to a science target.
| Planning element | Purpose | What it does not guarantee |
|---|---|---|
| Destination | Sets the mission-level objective, often tied to science. | It does not select the rover’s exact route by itself. |
| Waypoint | Breaks the drive into reachable intermediate targets; conventional spacing is usually no more than 330 feet (100 meters). | It does not remove hazards between points. |
| Keep-out zone | Excludes terrain that the team considers unacceptable or too risky. | It cannot describe every small obstacle visible only from the surface. |
| Onboard local path | Lets the rover steer around newly detected hazards while pursuing the assigned destination. | It does not give the rover authority to choose a new mission destination or science objective. |
4. Onboard cameras turn nearby ground into a hazard map
Perseverance builds a three-dimensional view while driving
Perseverance uses paired navigation-camera images to estimate the shape of the terrain around it. Software turns those observations into a digital elevation model and evaluates candidate paths. As the rover advances, new images replace uncertain or outdated information, allowing AutoNav to replan around an obstacle without waiting for a new human-generated line.
This close-range process catches hazards that orbital planning cannot reliably resolve. NASA’s AutoNav animation for a July 15, 2023 drive shows Perseverance routing around a 14-inch (35-centimeter) rock. The same example distinguishes paths that could produce a wheel drop exceeding 14 inches (35 centimeters) from paths where the rover’s belly pan might lose sufficient clearance.
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Curiosity checks the ground in a more stop-and-image pattern
JPL describes Curiosity’s hazard-avoidance autonomy as using stereo images to identify large vertical steps, steep slopes and excessive roughness. Its operating pattern traditionally includes pausing to gather and process images before selecting the next safe movement. Perseverance’s faster cameras and dedicated vision-compute element support more continuous local navigation, so it can spend less time stopped while still updating its terrain model.
5. The rover must avoid more than obvious rocks
Safe route planning treats mobility as a collection of geometric and traction limits. The hazards identified in NASA and JPL descriptions include:
- Steep slopes: A route can be unsafe even when its surface looks smooth if its angle exceeds the rover’s operating limits.
- Rough or uneven ground: Repeated bumps can threaten stability, mobility hardware or the rover’s ability to keep its instruments pointed as planned.
- Large vertical steps: A ledge may be too high for a wheel to climb or may leave the chassis in a precarious attitude.
- Rocks and boulder fields: Individual obstacles can block a wheel, scrape hardware or force a sharp detour.
- Sand ripples and loose surfaces: They can change wheel traction and increase the chance of slip.
- Wheel-drop hazards: A wheel descending into a depression can exceed the rover’s allowed drop even if the surrounding terrain appears passable.
- Belly-pan clearance: A path can be rejected when the rover’s underside could contact a ridge or high point.
Because these hazards have different consequences, the safest path is not always the shortest path. A route with a gentle curve around an obstacle may be preferable to a direct line that crosses a rough patch or leaves little clearance under the chassis.
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6. Localization tells the rover whether it is really following the route
Several sensors are combined
Curiosity combines gyro and accelerometer measurements with wheel rotations to estimate attitude and movement. It also uses visual odometry: the rover compares successive camera images to estimate how far it has moved relative to the ground. This is important because wheel rotation alone can be misleading on loose soil.
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Visual odometry detects wheel slip
If the wheels turn but the surrounding terrain shifts by a smaller amount than expected, the rover can infer that it is slipping. The navigation system can then update its position estimate and avoid blindly continuing with an inaccurate map reference. JPL reports that Curiosity used visual odometry on more than 90% of drives and that 20,682 attempts reached a 99.6% convergence figure after a mission software update; the technical page does not state a publication date for those statistics.
Localization is separate from hazard detection. A rover may know that a rock is dangerous but still need accurate position and orientation to determine which detour will keep it inside the planned corridor and pointed toward its waypoint.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.7. Earth-based validation is the final safety gate
Commands are tested before uplink
After planners assemble the activity sequence, engineers test it against a software representation of the rover and its environment. They check that the commands are internally consistent, that resource use is acceptable and that the expected rover states remain within limits. This stage catches errors that terrain autonomy cannot be expected to fix, such as an incompatible instrument sequence or an invalid command parameter.
For NASA’s December 2025 Perseverance AI-planning demonstration, engineers ran the generated commands through a digital twin and checked more than 500,000 telemetry variables before sending them to Mars. The number describes the breadth of the pre-uplink verification, not a claim that every possible surface event can be predicted.
The validated sequence is transmitted and monitored
Once approved, the command sequence is sent to the rover. The team then examines returned telemetry and images, confirms the rover’s actual state, and uses that information to plan the next activity. If the rover reports a fault or unexpected terrain response, future commands can be shortened, revised or replaced rather than forcing it to continue with the original plan.
How Curiosity and Perseverance divide human and autonomous work
| Comparison point | Curiosity | Perseverance |
|---|---|---|
| Local navigation behavior | JPL describes a stop-and-image approach for assessing hazards before movement. | AutoNav can update a three-dimensional terrain map and reroute while driving. |
| Hazard information | Stereo imagery is used to identify vertical steps, steep slopes and excessive roughness. | Navigation-camera imagery supports local terrain mapping, including rocks, slopes, rough ground and clearance risks. |
| Motion estimation | Gyros, accelerometers, wheel rotations and visual odometry are combined to detect departure from the expected path and wheel slip. | Visual perception and onboard terrain mapping support localization and path selection during the drive. |
| Human role | People choose destinations, science activities, waypoints and constraints; autonomy handles local safety decisions. | People still choose the destination and science plan; AutoNav adjusts the local path toward that assigned goal. |
| Demonstrated autonomy scope | Autonomous hazard avoidance and visual-odometry operations are established mission capabilities. | Continuous local navigation is established, while generative-AI route planning has been reported as a demonstration rather than routine replacement of human planners. |
What the 2025 generative-AI demonstration actually showed
NASA reported that a generative-AI system produced Perseverance route plans from orbital imagery and slope data for mission sols 1,707 and 1,709. The system generated continuous paths with waypoints, and Perseverance drove 689 feet (210 meters) on one drive and 807 feet (246 meters) on the other. Engineers validated the resulting commands in a digital twin before uplink.
These drives demonstrate a way to streamline parts of perception, localization, planning and control. They do not show that an AI system independently selects the rover’s mission destination, chooses science priorities or operates without engineering review. NASA has described kilometer-scale AI-assisted drives as a future direction. The demonstrated distances were hundreds of feet, and the commands passed through the same safety and verification process required for other operations.
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“Rover driver” is a human engineering role, not a person holding a remote-control joystick. Rover planners and drivers on Earth analyze maps, images, telemetry and science objectives, then construct commands for the rover’s next operating period. Scientists help select targets and observations; mobility, systems and flight-software specialists check whether the sequence is safe and executable.
Once the sequence is on Mars, autonomy can make limited local decisions inside the boundaries people supplied. It may choose the left side of a rock instead of the right, stop when a path violates a terrain rule, or update its position after detecting wheel slip. It cannot decide that a different crater is scientifically more important and redirect the mission there without a new human plan.
Route planning is different from landing navigation
Terrain-Relative Navigation used during landing and surface route planning solve different problems. Landing navigation helps a spacecraft identify its position relative to mapped terrain while descending so it can select a safer landing area. Surface route planning begins after touchdown and determines how the rover moves between destinations. The two systems can use terrain maps and vision, but one selects or refines a landing location while the other manages drives, obstacles and science stops over many sols.
What makes a route “safe” on Mars?
A safe route is a verified plan that advances the science objective while keeping the rover within its mobility, clearance, traction, power and command limits. It combines human judgment at the scale of destinations and waypoints with machine perception at the scale of individual rocks and depressions. Orbital imagery supplies the broad map; stereo cameras and onboard elevation models reveal the immediate ground; localization checks whether wheel motion matches reality; and Earth-based validation prevents an untested command sequence from being transmitted.
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