[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.21.0″ background_color=”#194D78″ global_colors_info=”{}”][et_pb_fullwidth_header title=”UAV Simulation and Experiment Environment” subhead=”Project developed at LS2N, ongoing expertise provision.” button_one_text=”https:\/\/gitlab.univ-nantes.fr\/ls2n-drones\/ls2n_drone_env” button_one_url=”https:\/\/gitlab.univ-nantes.fr\/ls2n-drones\/ls2n_drone_env” content_max_width=”none” button_one_text_last_edited=”off|desktop” _builder_version=”4.21.0″ background_color=”rgba(255, 255, 255, 0)” hover_enabled=”0″ global_colors_info=”{}” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off” button_one_text__hover_enabled=”off|desktop” sticky_enabled=”0″][\/et_pb_fullwidth_header][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ global_colors_info=”{}”][et_pb_row _builder_version=”4.21.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”]<\/p>\n
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The LS2N Drone Environment is a comprehensive ROS2 package repository designed for facilitating the control and simulation of drones within an indoor setting. The repository is composed of several interoperable submodules, which together form a fully functional environment.<\/p>\n
The LS2N Drone Environment is primarily designed to facilitate advanced indoor drone experimentation, encompassing both individual and collaborative multi-drone missions. The precision of these operations is ensured by a motion capture system for accurate localization.<\/p>\n
A notable feature of this environment is the integration of Software In The Loop (SITL) simulation. SITL proves invaluable by providing safe and cost-effective means for testing and debugging drone control algorithms, as well as allowing for realistic scenario simulations, thereby facilitating a smooth transition from the simulation to the real-world application.<\/p>\n
The presence of SITL, while not the main focus, significantly enhances the project’s versatility, positioning the LS2N Drone Environment as an indispensable tool in indoor drone research and development.<\/p>\n
This project forms the foundation of multiple research initiatives at LS2N, encompassing areas such as formation flight and multi-drone manipulation. It is the cornerstone of advanced UAV research and development, serving as a catalyst for innovation in indoor drone application.<\/p>\n
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Drone Simulation and Control; ROS2 Package Development; Software In The Loop (SITL) Simulation; Motion Capture Systems; Multi-Drone Coordination; PX4 Autopilot; Python.<\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Project DescriptionThe LS2N Drone Environment is a comprehensive ROS2 package repository designed for facilitating the control and simulation of drones within an indoor setting. The repository is composed of several interoperable submodules, which together form a fully functional environment. The LS2N Drone Environment is primarily designed to facilitate advanced indoor drone experimentation, encompassing both individual […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-154","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/robotsix.net\/index.php\/wp-json\/wp\/v2\/pages\/154","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/robotsix.net\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/robotsix.net\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/robotsix.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/robotsix.net\/index.php\/wp-json\/wp\/v2\/comments?post=154"}],"version-history":[{"count":14,"href":"https:\/\/robotsix.net\/index.php\/wp-json\/wp\/v2\/pages\/154\/revisions"}],"predecessor-version":[{"id":189,"href":"https:\/\/robotsix.net\/index.php\/wp-json\/wp\/v2\/pages\/154\/revisions\/189"}],"wp:attachment":[{"href":"https:\/\/robotsix.net\/index.php\/wp-json\/wp\/v2\/media?parent=154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}