{"id":255129,"date":"2016-07-13T18:42:53","date_gmt":"2016-07-14T01:42:53","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=255129"},"modified":"2017-07-14T14:04:17","modified_gmt":"2017-07-14T21:04:17","slug":"safe-autonomous-flight-everywhere-safe","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/safe-autonomous-flight-everywhere-safe\/","title":{"rendered":"Safe Autonomous Flight Everywhere"},"content":{"rendered":"<p>The goal of this project is to build a generalized vehicle-agnostic system that can provide safety guarantees in the face of an uncertain world. We are defining what \u201csafe\u201d means, and building a theoretical framework that treats uncertainty in perception and control systems a key design parameter.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The goal of this project is to build a generalized vehicle-agnostic system that can provide safety guarantees in the face of an uncertain world. We are defining what \u201csafe\u201d means, and building a theoretical framework that treats uncertainty in perception and control systems a key design parameter.<\/p>\n","protected":false},"featured_media":255159,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13561,13556,13562,13552],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-255129","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-algorithms","msr-research-area-artificial-intelligence","msr-research-area-computer-vision","msr-research-area-hardware-devices","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[329660],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Shital Shah","user_id":35435,"people_section":"Group 1","alias":"shitals"}],"msr_research_lab":[199565],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/255129"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":6,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/255129\/revisions"}],"predecessor-version":[{"id":400454,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/255129\/revisions\/400454"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/255159"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=255129"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=255129"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=255129"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=255129"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=255129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}