Mesh Robotics, LLC

Latest events

• Jul 2018Federal grantNASA · Phase I · Deep Learning Applied to Detecting Salient Features and Building Better 3D Models$125K
• Jun 2017Federal contractNASA · Igf::ot::igf As Robots Are Tasked With Ever More Complex Missions, They Demand More Sophisticated Models Of The Environments In Which They Must Work. Rough-terrain Mobility, Site Surveying, And Dexterous Manipulation All Demand A Fully 3D Map Of The World That Simultaneously Exhibits Large Scale And High Resolution, A Situation We Refer To As Scale Disparity. Most Robots Discretize The World Into A Uniform-grid That Is Used To Accumulate Evidence From Multiple Measurements. Unfortunately The Me$125K
• Sep 2014Federal contractNASA · Igf::ot::igf Robots Need To Know Their Location To Map Of Their Surroundings But Without Global Positioning Data They Need A Map To Identify Their Surroundings And Estimate Their Location. Simultaneous Localization And Mapping (slam) Solves These Dual Problems At Once. Slam Does Not Depend On Any Kind Of Infrastructure And Is Thus A Promising Localization Technology For NASA Planetary Missions And For Many Terrestrial Applications As Well. However, State-of-the-art Slam Depends On Easily-recogn$750K
• Jun 2014Federal contractNASA · Igf::ot::igf Our Aim In This Project Is To Apply The State-of-the-art In Science Autonomy, Including The Pi's Recent Work At Carnegie Mellon In Areas Of Automatic Spectrometer Targeting And Spectra Collection, Science-guided Path Planning, And Orbital Terrain Classification, To The Creation Of Intelligent Spectrometry For Robotic Explorers (isre). In Our Vision, Isre Will Enable Real-time, On-board Analysis Of Spectroscopic Data To Guide Spectrometer Targeting. Spectrometer Targeting Involves Bo$125K
• May 2013Federal contractNASA · Igf::ot::igf Robots Need To Know Their Location To Map Of Their Surroundings But Without Global Positioning Data They Need A Map To Identify Their Surroundings And Estimate Their Location. Simultaneous Localization And Mapping (slam) Solves These Dual Problems At Once. Slam Does Not Depend On Any Kind Of Infrastructure And Is Thus A Promising Localization Technology For NASA Planetary Missions And For Many Terrestrial Applications As Well. However, State-of-the-art Slam Depends On Easily-recogni$125K

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