NASA has introduced ERNEST - the Exploration Rover for Navigating Extreme Sloped Terrain - its latest robotic platform designed to address long-standing limitations in planetary exploration.
Rovers such as Perseverance and Curiosity have delivered significant scientific insights, but their relatively slow speeds, limited range and constrained manoeuvrability have restricted how far and how quickly they can explore. Following a positive field test, NASA says ERNEST is built to overcome these challenges, combining higher speeds, greater travel distances and enhanced learning and decision-making capabilities.
Improved speed expands explorational potential
ERNEST’s performance in field testing highlights the scale of this improvement. Conducted in California’s Colorado Desert, the 1.2-metre rover travelled 16 miles in 37 hours across difficult terrain.
By comparison:
- Perseverance operates at around 0.1 mph on flat ground
- Curiosity travels at approximately 0.09 mph
ERNEST reaches speeds of up to 0.6 mph, representing a significant increase in mobility. NASA says this could enable more ambitious exploration strategies, including longer-distance surface traverses during a single mission.
Greater range than previous Mars rovers
The rover’s improved speed also translates into greater range.
During testing, ERNEST completed 16 miles in seven days.
By contrast:
- Perseverance has travelled 26.2 miles over roughly five years on Mars
- Curiosity has covered around 23 miles in approximately 14 years
The difference highlights the potential for faster data collection across wider areas of planetary surfaces.
New suspension system improves terrain capability
ERNEST departs from NASA’s long-used rocker-bogie suspension system, introducing an active suspension design that enables greater adaptability.
Key capabilities include:
- Independent wheel movement for obstacle climbing
- “Wheel-walking” and adaptive motion across uneven terrain
- Enhanced stability on steep or rocky surfaces
The system also allows the rover to switch between active and passive modes, helping to conserve energy while maintaining performance in demanding conditions.
AI-driven navigation reduces reliance on human control
The rover is equipped with reinforcement learning, allowing it to adapt its navigation strategy in real time.
NASA trained ERNEST using simulated environments that included:
- Sand ripples
- Rubble fields
- Steps and steep inclines
In testing, the rover successfully navigated many of these scenarios autonomously, demonstrating progress in reducing the need for direct human input - a key requirement for missions where communication delays are significant.
Supporting future planetary missions
ERNEST’s combination of increased speed, range and autonomy could expand the scope of future missions to the Moon, Mars and beyond, enabling scientists to investigate areas that have previously been difficult to access.
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