Identifying and Correcting an Edge-Fattened Area Generated by Stereo-Matching Techniques

This publication describes an image-boundary manager used in an image-capture device. The image-boundary manager uses a low-complexity algorithm to compute an edge-fattened area of a foreground object included in an image of a scene generated by the image-capture device. After computing the edge-fattened area of the foreground object, the image-capture manager assigns correct depth values to the edge-fattened area such that the image-capture device renders the foreground object, in a modified image of the scene, accurately and without the edge-fattened area

A low-cost test-bed for real-time landmark tracking

A low-cost vehicle test-bed system was developed to iteratively test, refine and demonstrate navigation algorithms before attempting to transfer the algorithms to more advanced rover prototypes. The platform used here was a modified radio controlled (RC) car. A microcontroller board and onboard laptop computer allow for either autonomous or remote operation via a computer workstation. The sensors onboard the vehicle represent the types currently used on NASA-JPL rover prototypes. For dead-reckoning navigation, optical wheel encoders, a single axis gyroscope, and 2-axis accelerometer were used. An ultrasound ranger is available to calculate distance as a substitute for the stereo vision systems presently used on rovers. The prototype also carries a small laptop computer with a USB camera and wireless transmitter to send real time video to an off-board computer. A real-time user interface was implemented that combines an automatic image feature selector, tracking parameter controls, streaming video viewer, and user generated or autonomous driving commands. Using the test-bed, real-time landmark tracking was demonstrated by autonomously driving the vehicle through the JPL Mars yard. The algorithms tracked rocks as waypoints. This generated coordinates calculating relative motion and visually servoing to science targets. A limitation for the current system is serial computing−each additional landmark is tracked in order−but since each landmark is tracked independently, if transferred to appropriate parallel hardware, adding targets would not significantly diminish system speed

Humanoids for lunar and planetary surface operations

This paper presents a vision of humanoid robots as human's key partners in future space exploration, in particular for construction, maintenance/repair and operation of lunar/planetary habitats, bases and settlements. It integrates this vision with the recent plans, for human and robotic exploration, aligning a set of milestones for operational capability of humanoids with the schedule for the next decades and development spirals in the Project Constellation. These milestones relate to a set of incremental challenges, for the solving of which new humanoid technologies are needed. A system of systems integrative approach that would lead to readiness of cooperating humanoid crews is sketched. Robot fostering, training/education techniques, and improved cognitive/sensory/motor development techniques are considered essential elements for achieving intelligent humanoids. A pilot project in this direction is outlined

Humanoids for Lunar and Planetary Surface Operations

Human-like shape makes humanoids well suited for being fostered/taught by humans, and for learning from humans, which we consider the best means to develop cognitive and perceptual/motor skills for truly intelligent, cognitive robots