Aster Labs, Inc.
Dba Aster Labs Inc
Div Shoreview
CAGE Code: 4LT98
NCAGE Code: 4LT98
Status: Active
Type: Commercial Supplier
Dun & Bradstreet (DUNS): 788542905
Summary
Aster Labs, Inc., Dba Aster Labs Inc, Div Shoreview is an Active Commercial Supplier with the Cage Code 4LT98 and is tracked by Dun & Bradstreet under DUNS Number 788542905..
Address
155 E Owasso Ln
Saint Paul MN 55126-3034
United States
Points of Contact
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Frequently Asked Questions (FAQ) for CAGE 4LT98
- What is CAGE Code 4LT98?
- 4LT98 is the unique identifier used by NATO Organizations to reference the physical entity known as Aster Labs, Inc. Dba Aster Labs Inc Div Shoreview located at 155 E Owasso Ln, Saint Paul MN 55126-3034, United States.
- Who is CAGE Code 4LT98?
- 4LT98 refers to Aster Labs, Inc. Dba Aster Labs Inc Div Shoreview located at 155 E Owasso Ln, Saint Paul MN 55126-3034, United States.
- Where is CAGE Code 4LT98 Located?
- CAGE Code 4LT98 is located in Saint Paul, MN, USA.
Contracting History for CAGE 4LT98 Most Recent 25 Records
- 80NSSC23PB344
- Sttr Phase I Augmented Reality Navigation Application For Space Habitats.
- 31 Jul 2023
- Sttr Phase I Augmented Reality Navigation Application For Space Habitats.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $149,987.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC23PB346
- Fy23 Sbir Phase I Deep Space Navigation Of Distributed Small Spacecraft Using Occultations Of Celestial X-Ray Sources
- 31 Jul 2023
- Fy23 Sbir Phase I Deep Space Navigation Of Distributed Small Spacecraft Using Occultations Of Celestial X-Ray Sources
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $149,991.00
- National Aeronautics And Space Administration (Nasa)
- FA864922P0765
- F2-14944/Gaussian-Pareto Overbounding For Verification And Validation Of Safety-Critical Evtol And Uam Operations
- 11 Mar 2022
- F2-14944/Gaussian-Pareto Overbounding For Verification And Validation Of Safety-Critical Evtol And Uam Operations
- Fa8649 Usaf Sbir Sttr Contracting
- Department Of Defense (Dod)
- $749,779.00
- Department Of Defense (Dod)
- 80NSSC21C0509
- Eo14042 Multi-Target Tracking Using Random Finite Sets For Rendezvous And Proximity Operations With Non-Gaussian Uncertainties
- 13 Oct 2021
- Eo14042 Multi-Target Tracking Using Random Finite Sets For Rendezvous And Proximity Operations With Non-Gaussian Uncertainties
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $749,791.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC21C0509
- Multi-Target Tracking Using Random Finite Sets For Rendezvous And Proximity Operations With Non-Gaussian Uncertainties
- 21 Mar 2023
- Multi-Target Tracking Using Random Finite Sets For Rendezvous And Proximity Operations With Non-Gaussian Uncertainties
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $749,791.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC21C0509
- Multi-Target Tracking Using Random Finite Sets For Rendezvous And Proximity Operations With Non-Gaussian Uncertainties
- 27 Jul 2021
- Multi-Target Tracking Using Random Finite Sets For Rendezvous And Proximity Operations With Non-Gaussian Uncertainties
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $749,791.00
- National Aeronautics And Space Administration (Nasa)
- FA864921P0115
- Gaussian-Pareto Overbounding For Verification And Validation Of Safety-Critical Electric Vertical Take Off And Landing And Urban Air Mobility Operations
- 16 Dec 2020
- Gaussian-Pareto Overbounding For Verification And Validation Of Safety-Critical Electric Vertical Take Off And Landing And Urban Air Mobility Operations
- Fa8649 Usaf Sbir Sttr Contracting
- Department Of Defense (Dod)
- $149,819.00
- Department Of Defense (Dod)
- 80NSSC18P0923
- Ot: 1 On Board Computer For Nanosatellites; 1 Motherboard For Nano-Product
- 28 Mar 2018
- Ot: 1 On Board Computer For Nanosatellites; 1 Motherboard For Nano-Product
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $10,380.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC17C0022
- The Proposed Novel Program Will Develop And Demonstrate An Innovative Approach To Perform Real-Time Relative Vehicle Localization Within A Swarm Formation With Application To Communication-Less Coordination. These Objectives Are Achieved By Using Random Finite Sets Statistics Theory To Solve The Multiple Object Tracking Problem. The Swarm Formation Localization Problem Can Be Formulated As Estimating The Local Intensity Function Of Targets In The Near Field And Developing Probabilistic Control Strategies To Track An Expected Localization State Space Configuration. Work Will Focus On Refining Estimation And Control Algorithms That Can Utilize Simple Measurements, Such As Range And Bearing Angle Between Units, And Determine The Local Environment Using Feature Measurements. Four Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Estimation And Control: Random Finite Set Localization And Control Theory And Algorithms, Swarm Scenario Mplementations, Swarm Design Control And Simulate Toolset, And Swarm Localization And Control Demonstrations. Algorithms Developed And Analyzed In Phase I Will Be Extended To A Wide Range Of Environmental Models And Swarm Vehicle Dynamics, Including Planetary Rovers And Orbiting Spacecraft. The Swarm Technology Will Be Implemented For Real-Time Integrated System Use, With Identification Of Different Formation Configurations And Sensor Combination For Hardware Integration. A Swarm Design Software Tool Will Be Created To Allow Users To Utilize The Developed Technology In Proposed Mission Analysis. Demonstrations Of The Benefits Of The Technology Will Be Presented In Software And Hardware Demonstrations, Including Small Mobile Robots Used To Emulate Large Swarms. Future Demonstration Missions Identified In The Phase Ii Will Show The Mission Enhancements Of The Operational System.
- 18 Jun 2019
- The Proposed Novel Program Will Develop And Demonstrate An Innovative Approach To Perform Real-Time Relative Vehicle Localization Within A Swarm Formation With Application To Communication-Less Coordination. These Objectives Are Achieved By Using Random Finite Sets Statistics Theory To Solve The Multiple Object Tracking Problem. The Swarm Formation Localization Problem Can Be Formulated As Estimating The Local Intensity Function Of Targets In The Near Field And Developing Probabilistic Control Strategies To Track An Expected Localization State Space Configuration. Work Will Focus On Refining Estimation And Control Algorithms That Can Utilize Simple Measurements, Such As Range And Bearing Angle Between Units, And Determine The Local Environment Using Feature Measurements. Four Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Estimation And Control: Random Finite Set Localization And Control Theory And Algorithms, Swarm Scenario Mplementations, Swarm Design Control And Simulate Toolset, And Swarm Localization And Control Demonstrations. Algorithms Developed And Analyzed In Phase I Will Be Extended To A Wide Range Of Environmental Models And Swarm Vehicle Dynamics, Including Planetary Rovers And Orbiting Spacecraft. The Swarm Technology Will Be Implemented For Real-Time Integrated System Use, With Identification Of Different Formation Configurations And Sensor Combination For Hardware Integration. A Swarm Design Software Tool Will Be Created To Allow Users To Utilize The Developed Technology In Proposed Mission Analysis. Demonstrations Of The Benefits Of The Technology Will Be Presented In Software And Hardware Demonstrations, Including Small Mobile Robots Used To Emulate Large Swarms. Future Demonstration Missions Identified In The Phase Ii Will Show The Mission Enhancements Of The Operational System.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $749,810.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC21C0393
- Deep Space Navigation Of Disturbed Small Spacecraft Using Variable Celestial Sources
- 15 Sep 2021
- Deep Space Navigation Of Disturbed Small Spacecraft Using Variable Celestial Sources
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $124,997.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC17C0022
- The Proposed Novel Program Will Develop And Demonstrate An Innovative Approach To Perform Real-Time Relative Vehicle Localization Within A Swarm Formation With Application To Communication-Less Coordination. These Objectives Are Achieved By Using Random Finite Sets Statistics Theory To Solve The Multiple Object Tracking Problem. The Swarm Formation Localization Problem Can Be Formulated As Estimating The Local Intensity Function Of Targets In The Near Field And Developing Probabilistic Control Strategies To Track An Expected Localization State Space Configuration. Work Will Focus On Refining Estimation And Control Algorithms That Can Utilize Simple Measurements, Such As Range And Bearing Angle Between Units, And Determine The Local Environment Using Feature Measurements. Four Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Estimation And Control: Random Finite Set Localization And Control Theory And Algorithms, Swarm Scenario Mplementations, Swarm Design Control And Simulate Toolset, And Swarm Localization And Control Demonstrations. Algorithms Developed And Analyzed In Phase I Will Be Extended To A Wide Range Of Environmental Models And Swarm Vehicle Dynamics, Including Planetary Rovers And Orbiting Spacecraft. The Swarm Technology Will Be Implemented For Real-Time Integrated System Use, With Identification Of Different Formation Configurations And Sensor Combination For Hardware Integration. A Swarm Design Software Tool Will Be Created To Allow Users To Utilize The Developed Technology In Proposed Mission Analysis. Demonstrations Of The Benefits Of The Technology Will Be Presented In Software And Hardware Demonstrations, Including Small Mobile Robots Used To Emulate Large Swarms. Future Demonstration Missions Identified In The Phase Ii Will Show The Mission Enhancements Of The Operational System.
- 18 Sep 2019
- The Proposed Novel Program Will Develop And Demonstrate An Innovative Approach To Perform Real-Time Relative Vehicle Localization Within A Swarm Formation With Application To Communication-Less Coordination. These Objectives Are Achieved By Using Random Finite Sets Statistics Theory To Solve The Multiple Object Tracking Problem. The Swarm Formation Localization Problem Can Be Formulated As Estimating The Local Intensity Function Of Targets In The Near Field And Developing Probabilistic Control Strategies To Track An Expected Localization State Space Configuration. Work Will Focus On Refining Estimation And Control Algorithms That Can Utilize Simple Measurements, Such As Range And Bearing Angle Between Units, And Determine The Local Environment Using Feature Measurements. Four Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Estimation And Control: Random Finite Set Localization And Control Theory And Algorithms, Swarm Scenario Mplementations, Swarm Design Control And Simulate Toolset, And Swarm Localization And Control Demonstrations. Algorithms Developed And Analyzed In Phase I Will Be Extended To A Wide Range Of Environmental Models And Swarm Vehicle Dynamics, Including Planetary Rovers And Orbiting Spacecraft. The Swarm Technology Will Be Implemented For Real-Time Integrated System Use, With Identification Of Different Formation Configurations And Sensor Combination For Hardware Integration. A Swarm Design Software Tool Will Be Created To Allow Users To Utilize The Developed Technology In Proposed Mission Analysis. Demonstrations Of The Benefits Of The Technology Will Be Presented In Software And Hardware Demonstrations, Including Small Mobile Robots Used To Emulate Large Swarms. Future Demonstration Missions Identified In The Phase Ii Will Show The Mission Enhancements Of The Operational System.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $749,810.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC21C0392
- Space Vehicle Swarm Coordination And Control Using Temporal Logic
- 17 May 2021
- Space Vehicle Swarm Coordination And Control Using Temporal Logic
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $124,961.00
- National Aeronautics And Space Administration (Nasa)
- FA945322CA027
- Scalable Compute Platform For Autonomous Mission Execution.
- 5 Jul 2022
- Scalable Compute Platform For Autonomous Mission Execution.
- Fa9453 Afrl Rvk
- Department Of Defense (Dod)
- $249,977.00
- Department Of Defense (Dod)
- 80NSSC21C0392
- Space Vehicle Swarm Coordination And Control Using Temporal Logic
- 6 Aug 2021
- Space Vehicle Swarm Coordination And Control Using Temporal Logic
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $124,961.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC19C0262
- The Tarv Will Be An Exploratory Vehicle Capable Of Controlled Flight, Hover, And Repeated Takeoff And Landing Maneuvers.
- 16 Aug 2019
- The Tarv Will Be An Exploratory Vehicle Capable Of Controlled Flight, Hover, And Repeated Takeoff And Landing Maneuvers.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $124,718.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC17C0022
- The Proposed Novel Program Will Develop And Demonstrate An Innovative Approach To Perform Real-Time Relative Vehicle Localization Within A Swarm Formation With Application To Communication-Less Coordination. These Objectives Are Achieved By Using Random Finite Sets Statistics Theory To Solve The Multiple Object Tracking Problem. The Swarm Formation Localization Problem Can Be Formulated As Estimating The Local Intensity Function Of Targets In The Near Field And Developing Probabilistic Control Strategies To Track An Expected Localization State Space Configuration. Work Will Focus On Refining Estimation And Control Algorithms That Can Utilize Simple Measurements, Such As Range And Bearing Angle Between Units, And Determine The Local Environment Using Feature Measurements. Four Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Estimation And Control: Random Finite Set Localization And Control Theory And Algorithms, Swarm Scenario Mplementations, Swarm Design Control And Simulate Toolset, And Swarm Localization And Control Demonstrations. Algorithms Developed And Analyzed In Phase I Will Be Extended To A Wide Range Of Environmental Models And Swarm Vehicle Dynamics, Including Planetary Rovers And Orbiting Spacecraft. The Swarm Technology Will Be Implemented For Real-Time Integrated System Use, With Identification Of Different Formation Configurations And Sensor Combination For Hardware Integration. A Swarm Design Software Tool Will Be Created To Allow Users To Utilize The Developed Technology In Proposed Mission Analysis. Demonstrations Of The Benefits Of The Technology Will Be Presented In Software And Hardware Demonstrations, Including Small Mobile Robots Used To Emulate Large Swarms. Future Demonstration Missions Identified In The Phase Ii Will Show The Mission Enhancements Of The Operational System.
- 31 May 2018
- The Proposed Novel Program Will Develop And Demonstrate An Innovative Approach To Perform Real-Time Relative Vehicle Localization Within A Swarm Formation With Application To Communication-Less Coordination. These Objectives Are Achieved By Using Random Finite Sets Statistics Theory To Solve The Multiple Object Tracking Problem. The Swarm Formation Localization Problem Can Be Formulated As Estimating The Local Intensity Function Of Targets In The Near Field And Developing Probabilistic Control Strategies To Track An Expected Localization State Space Configuration. Work Will Focus On Refining Estimation And Control Algorithms That Can Utilize Simple Measurements, Such As Range And Bearing Angle Between Units, And Determine The Local Environment Using Feature Measurements. Four Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Estimation And Control: Random Finite Set Localization And Control Theory And Algorithms, Swarm Scenario Mplementations, Swarm Design Control And Simulate Toolset, And Swarm Localization And Control Demonstrations. Algorithms Developed And Analyzed In Phase I Will Be Extended To A Wide Range Of Environmental Models And Swarm Vehicle Dynamics, Including Planetary Rovers And Orbiting Spacecraft. The Swarm Technology Will Be Implemented For Real-Time Integrated System Use, With Identification Of Different Formation Configurations And Sensor Combination For Hardware Integration. A Swarm Design Software Tool Will Be Created To Allow Users To Utilize The Developed Technology In Proposed Mission Analysis. Demonstrations Of The Benefits Of The Technology Will Be Presented In Software And Hardware Demonstrations, Including Small Mobile Robots Used To Emulate Large Swarms. Future Demonstration Missions Identified In The Phase Ii Will Show The Mission Enhancements Of The Operational System.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $749,810.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC19C0555
- This Program Will Develop A Communication-Less Solution To Decentralized Control And Task Coordination For Multi-Agent Systems (Mas).
- 19 Aug 2019
- This Program Will Develop A Communication-Less Solution To Decentralized Control And Task Coordination For Multi-Agent Systems (Mas).
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $124,810.00
- National Aeronautics And Space Administration (Nasa)
- NNX17CP27P
- Igf::Ot::Igf Nspired By Frequent Observation Of Repetitive Learned Swarm Behavior Exhibited In Nature, This Novel Program Will Develop And Demonstrate New Capabilities In Decentralized Control Of Large Heterogeneous Vehicle Swarms Limited In Communication, Sensors, And Actuators, With Direct Application To Communication-Less Coordination. These Goals Are Accomplished Through The Adaptation And Use Of Reinforcement Learning Solutions To The Optimal Control Problem. Reinforcement Learning Approaches Define A Value Function, Which Represents The Total Reward For Possible Actions At A Given State, Deriving A Decentralized Formulation For Each Agent In A Multi-Agent System. The Proposal Implements The Policy Gradient Method For Reinforcement Learning Applied To Swarming Spacecraft Control. Three Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Coordination And Control: Approximate Optimal Control For Large Swarms, Communication-Less Swarm Coordination Implementation, And Human-Swarm Interactions Via Supervised Reinforcement Learning. Algorithm Development In Phase I Will Extend To A Centralized Optimal Control Solution, Inverse Reinforcement Learning For The Local Decentralized Problem, Model Free Learning, "Expert Solution" Conversions To The Local Modified Local Interaction, Inverse Learning For Behavior Determination And Classification, Hyman Designed Dynamic Reward Functions, And Keep Out Zone Models. Follow-On Efforts Will Are Proposed For Full Implementation Of The Reinforcement Learning Swarm Technology For Real-Time Integrated System Use And Mission Integration, Including Laboratory Demonstrations Of Small Robotic Units, And The Development Of Flight-Qualified Software And Hardware Packages For Full Integrated Technology Demonstrations.
- 8 Jun 2018
- Igf::Ot::Igf Nspired By Frequent Observation Of Repetitive Learned Swarm Behavior Exhibited In Nature, This Novel Program Will Develop And Demonstrate New Capabilities In Decentralized Control Of Large Heterogeneous Vehicle Swarms Limited In Communication, Sensors, And Actuators, With Direct Application To Communication-Less Coordination. These Goals Are Accomplished Through The Adaptation And Use Of Reinforcement Learning Solutions To The Optimal Control Problem. Reinforcement Learning Approaches Define A Value Function, Which Represents The Total Reward For Possible Actions At A Given State, Deriving A Decentralized Formulation For Each Agent In A Multi-Agent System. The Proposal Implements The Policy Gradient Method For Reinforcement Learning Applied To Swarming Spacecraft Control. Three Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Coordination And Control: Approximate Optimal Control For Large Swarms, Communication-Less Swarm Coordination Implementation, And Human-Swarm Interactions Via Supervised Reinforcement Learning. Algorithm Development In Phase I Will Extend To A Centralized Optimal Control Solution, Inverse Reinforcement Learning For The Local Decentralized Problem, Model Free Learning, "Expert Solution" Conversions To The Local Modified Local Interaction, Inverse Learning For Behavior Determination And Classification, Hyman Designed Dynamic Reward Functions, And Keep Out Zone Models. Follow-On Efforts Will Are Proposed For Full Implementation Of The Reinforcement Learning Swarm Technology For Real-Time Integrated System Use And Mission Integration, Including Laboratory Demonstrations Of Small Robotic Units, And The Development Of Flight-Qualified Software And Hardware Packages For Full Integrated Technology Demonstrations.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $124,855.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC20C0393
- Multi-Target Tracking Using Random Finite Sets For Rendezvous And Proximity Operations With Non-.Gaussian Uncertainties
- 27 Aug 2020
- Multi-Target Tracking Using Random Finite Sets For Rendezvous And Proximity Operations With Non-.Gaussian Uncertainties
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $124,956.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC21C0393
- Deep Space Navigation Of Distributed Small Spacecraft Using Variable Celestial Sources
- 17 May 2021
- Deep Space Navigation Of Distributed Small Spacecraft Using Variable Celestial Sources
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $124,997.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC17C0022
- The Proposed Novel Program Will Develop And Demonstrate An Innovative Approach To Perform Real-Time Relative Vehicle Localization Within A Swarm Formation With Application To Communication-Less Coordination. These Objectives Are Achieved By Using Random Finite Sets Statistics Theory To Solve The Multiple Object Tracking Problem. The Swarm Formation Localization Problem Can Be Formulated As Estimating The Local Intensity Function Of Targets In The Near Field And Developing Probabilistic Control Strategies To Track An Expected Localization State Space Configuration. Work Will Focus On Refining Estimation And Control Algorithms That Can Utilize Simple Measurements, Such As Range And Bearing Angle Between Units, And Determine The Local Environment Using Feature Measurements. Four Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Estimation And Control: Random Finite Set Localization And Control Theory And Algorithms, Swarm Scenario Mplementations, Swarm Design Control And Simulate Toolset, And Swarm Localization And Control Demonstrations. Algorithms Developed And Analyzed In Phase I Will Be Extended To A Wide Range Of Environmental Models And Swarm Vehicle Dynamics, Including Planetary Rovers And Orbiting Spacecraft. The Swarm Technology Will Be Implemented For Real-Time Integrated System Use, With Identification Of Different Formation Configurations And Sensor Combination For Hardware Integration. A Swarm Design Software Tool Will Be Created To Allow Users To Utilize The Developed Technology In Proposed Mission Analysis. Demonstrations Of The Benefits Of The Technology Will Be Presented In Software And Hardware Demonstrations, Including Small Mobile Robots Used To Emulate Large Swarms. Future Demonstration Missions Identified In The Phase Ii Will Show The Mission Enhancements Of The Operational System.
- 11 Sep 2018
- The Proposed Novel Program Will Develop And Demonstrate An Innovative Approach To Perform Real-Time Relative Vehicle Localization Within A Swarm Formation With Application To Communication-Less Coordination. These Objectives Are Achieved By Using Random Finite Sets Statistics Theory To Solve The Multiple Object Tracking Problem. The Swarm Formation Localization Problem Can Be Formulated As Estimating The Local Intensity Function Of Targets In The Near Field And Developing Probabilistic Control Strategies To Track An Expected Localization State Space Configuration. Work Will Focus On Refining Estimation And Control Algorithms That Can Utilize Simple Measurements, Such As Range And Bearing Angle Between Units, And Determine The Local Environment Using Feature Measurements. Four Major Tasks Are Proposed For The Development Of Swarming Space Vehicle Estimation And Control: Random Finite Set Localization And Control Theory And Algorithms, Swarm Scenario Mplementations, Swarm Design Control And Simulate Toolset, And Swarm Localization And Control Demonstrations. Algorithms Developed And Analyzed In Phase I Will Be Extended To A Wide Range Of Environmental Models And Swarm Vehicle Dynamics, Including Planetary Rovers And Orbiting Spacecraft. The Swarm Technology Will Be Implemented For Real-Time Integrated System Use, With Identification Of Different Formation Configurations And Sensor Combination For Hardware Integration. A Swarm Design Software Tool Will Be Created To Allow Users To Utilize The Developed Technology In Proposed Mission Analysis. Demonstrations Of The Benefits Of The Technology Will Be Presented In Software And Hardware Demonstrations, Including Small Mobile Robots Used To Emulate Large Swarms. Future Demonstration Missions Identified In The Phase Ii Will Show The Mission Enhancements Of The Operational System.
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $749,810.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC17C0022
- Satellite Swarm Localization And Control Via Random Finite Set Statistics
- 23 Sep 2020
- Satellite Swarm Localization And Control Via Random Finite Set Statistics
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $799,810.00
- National Aeronautics And Space Administration (Nasa)
- 80NSSC17C0022
- Satellite Swarm Localization And Control Via Random Finite Set Statistics
- 21 Nov 2019
- Satellite Swarm Localization And Control Via Random Finite Set Statistics
- Nasa Shared Services Center
- National Aeronautics And Space Administration (Nasa)
- $799,810.00
- National Aeronautics And Space Administration (Nasa)