Traversability Index: A New Concept for Planetary Rovers
Traversability Index is introduced in this paper as a new and simple measure for traversability of planetary surfaces by mobile robots.
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Traversability Index is introduced in this paper as a new and simple measure for traversability of planetary surfaces by mobile robots.
Since 1967, a policy has been in place to control contamination of planets from both terrestrial organisms and organic constituents. The policy, implemented by the National Aeronautics and Space Administration, lays out a framework of guidelines for implementing future missions. During the course of structuring an active program to explore our solar system, it has become increasingly apparent that planetary protection factors will have a significant impact on future missions design, cost and complexity.
This paper presents a summary of the planetary protection technology development efforts currently being conducted at the Jet Propulsion Laboratory (JPL). This is a multidisciplinary effort involving JPL and NASA expertise in microbiology, material science, and analytical chemistry, in conjunction with outside, industrial academic collaborators.
An advanced design and implementation of a Control Architecture for Long Range Autonomous Planetary Rovers is presented using a hierarchical top-down task decomposition, and the common structure of each design is presented based on feedback control theory.
This paper presents the findings of a series of planetary mission studies supporting development and update of NASA's Space Science Enterprise Strategic Plan.
This paper surveys past and current designs of surface mobility systems for planetary exploration robots developed at JPL/Caltech.
This paper presents the findings of planetary mission studies which supported development of the Space Science Strategic Plan.
Automated planning and scheduling, including automated path planning, has been integrated with an internet-based distributed operations system for planetary rover operations.
Planetary missions place unique demands on spacecraft systems and operations in terms of lifetime
A particular aspect of autonomous target tracking for planetary bodies, detection of "distinct"
JPL's Multimission Operations System Office (MOSO) provides a multimission facility at JPL for processing science instrument data from NASA's planetary missions.
A variety of evidence suggests that at least 50% of low-mass stars are surrounded by disks of the gas and dust similar to the nebula that surrounded the Sun, before the formation of the planets. The properties of these disks may bear strongly on the way in which planetary systems form and evolve.
The Planetary Integrated Camera-Spectrometer (PICS)is an highly integrated sensor system which performs the functions of three optical instruments:...
An intelligent robotic architecture that autonomously synthesizes goal-oriented behaviors, while connecting sensing and action in real-time, is presented with applications to loosely defined planetary sampling missions. This architecture is composed of perception and action nets interconneted in closed loops.
Oscillatory balloon systems with telerobotic capabilities are being studied to support future space exploration by probes which will move up and down in a planetary atmosphere, land and explore numerous surface sites.
Solar infrared Montgolfiere Aerobots (SIRMAs) use a combination of lower planetary infrared heating during the night and solar heating during the day.
This paper presents the design and some preliminary analysis of a hopping robot for planetary exploration.
Planetary exploration rovers are expensive, weight constrained, and cannot be serviced once deployed. Here, we explore one way to increase their capabilities while avoiding the cost, mass, and complexity leading to these issues. We propose to re-use the large wheel actuators for trenching and other digging operations, which will enable a range of missions such as sampling deeper layers of soil. We present a new, closed-form model of the soil displaced by an angled, spinning wheel to analyze the trenching potential of a driving strategy and inform the control of the wheel. The model is demonstrated with single wheel experiments under different driving conditions. The model suggests: that a deep trench does not require large tractive efforts; that the shape of the trench can be controlled; and that a rear wheel has a lower risk of entrapment when trenching than a front wheel. Ultimately this model could be used in a nonprehensile manipulation planning or learning algorithm to enable autonomous trenching.
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