Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

NASA's Perseverance rover uses robotic autonomy to achieve its mission goals on Mars. Its
self-driving autonomous navigation system (AutoNav) has been used to evaluate 88% of the …

Although ground robotic autonomy has gained widespread usage in structured and
controlled environments, autonomy in unknown and off-road terrain remains a difficult …

Deep learning has quickly become a necessity for self-driving vehicles on Earth. In contrast,
the self-driving vehicles on Mars, including NASA's latest rover, Perseverance, which is …

One of the main challenges in autonomous robotic exploration and navigation in unknown
and unstructured environments is determining where the robot can or cannot safely move. A …

We propose a framework for resilient autonomous navigation in perceptually challenging
unknown environments with mobility-stressing elements such as uneven surfaces with rocks …

We present MLNav, a learning-enhanced path planning framework for safety-critical and
resource-limited systems operating in complex environments, such as rovers navigating on …

MAARS (Machine leaning-based Analytics for Automated Rover Systems) is an ongoing JPL
effort to bring the latest self-driving technologies to Mars, Moon, and beyond. The ongoing AI …

This letter presents an autonomous navigation system for ground robots traversing
aggressive unstructured terrain through a cohesive arrangement of mapping, deliberative …

Enhanced AutoNav (ENav), the baseline surface navigation software for NASA's
Perseverance rover, sorts a list of candidate paths for the rover to traverse, then uses the …