SBIR/STTR Research Award

Hyperrealistic, precise position, multi-astronaut training with XR Redirected Walking

Award identifier f64cf6dcb10c51d0b9d8b1da891dda25d595fb7915996bad7311307df275e410Awarding agency National Aeronautics and Space Administration

Award amount

$175,000

Program and phase

STTR · Phase I

Award year

2022

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
ORBITAL OUTPOST X, INC.
Proposal award date
2022-08-17
Contract end date
2023-08-25
UEI
M1ETHKMTUMW7
Solicitation number
STTR_22_P1
Topic code
T11

Research abstract

We will implement large virtual spaces dynamic saccadic redirection methods for 2 person Redirected Walking (RW) in real room/multi-room scaling XR. Wersquo;ll use target numerical simulations amp; user scenario test data to evaluate XR performance metrics against TRL-4 goals. RW can deliver up to 10x real space walkable area in virtual space without 1 user awareness of real space. Our goal is to achieve best virtual vs. real space expansion with 2 users in same room.We will show hyperrealistic large virtual environments rendering with high level of terrain details appropriate for surface operations amp; object models such as instruments, tools, vehicles, amp; structures. Photorealistic accurate scenarios improve full immersion sensations amp; training outcomes.We will demonstrate accurate finger, hand, amp; object tracking for 2 rooms including tracking objects with limited visibility for typical astronaut activities, e.g., unload, transport, assemble.We will explore novel human-computer interface methods, such as gesture commands, next step scenario guided choice/presentation from eye, hand, finger motions, etc. to determine applicability for Phase I amp; Phase II Ramp;D. UX interfaces in XR can guide users, follow responses to AR visual cues, present checklists, measure appropriateness of response amp; use trainee or user responses to guide next step training or operations to improve memory amp; new eye hand coordination retention during training, operational planning, amp; operational management.Our Deliverables include a theoretical framework implemented in hardware that demonstrate basic functionality amp; critical test environments, with key software components integrated amp; functionally validated to establish interoperability, with documented test performance demonstrating agreement with analytical predictions.nbsp;nbsp; Our (TRL-4) goal is to show breadboard systems with novel RW algorithms in a basic operating environment. All deliverables will be shown in a 2 person hands-on demo in XR.

Technology keywords

Not reported

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Agency intelligence

National Aeronautics and Space Administration

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