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 …

Autonomous driving in unstructured environments is crucial for various applications,
including agriculture, military, and mining. However, research in unstructured environments …

Onboard autonomy is an essential component in enabling increasingly complex missions
into deep space. In nonlinear dynamical environments, computationally efficient guidance …

Autonomous navigation at high speeds in off-road environments necessitates robots to
comprehensively understand their surroundings using onboard sensing only. The extreme …

Trajectory optimization under uncertainty underpins a wide range of applications in robotics.
However, existing methods are limited in terms of reasoning about sources of epistemic and …

Automatic terrain recognition in Mars rover images is an important problem not just for
navigation, but for scientists interested in studying rock types, and by extension, conditions …

Deep learning has become a powerful tool for Mars exploration. Mars terrain segmentation
is an important Martian vision task, which is the base of rover autonomous planning and safe …

Physical characteristics of terrains, such as softness and friction, provide essential
information for legged robots to avoid non-geometric obstacles, like mires and slippery …

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 …

Artificial intelligence (AI), which encompasses machine learning (ML), has become a critical
technology due to its well-established success in a wide array of applications. However, the …