{"id":154,"date":"2023-03-31T10:01:25","date_gmt":"2023-03-31T17:01:25","guid":{"rendered":"https:\/\/labs.wsu.edu\/siaslab\/?page_id=154"},"modified":"2026-03-05T08:51:51","modified_gmt":"2026-03-05T16:51:51","slug":"research","status":"publish","type":"page","link":"https:\/\/labs.wsu.edu\/siaslab\/research\/","title":{"rendered":"Projects"},"content":{"rendered":"\n<p><\/p>\n\n\n<div class=\"wsu-row wsu-row--halves\" >\r\n    \n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/s3.wp.wsu.edu\/uploads\/sites\/3123\/2024\/03\/fig-7-792x619.jpg\" alt=\"\" class=\"wp-image-268\" width=\"500\" height=\"300\" \/><\/figure>\n\n<\/div>\r\n\n\n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<p><strong>Optimization-Free Control of Constrained Systems <\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Goal:<\/strong>&nbsp;The primary objective is to develop innovative, optimization-free frameworks that guarantee the safety and high performance of safety-critical systems, eliminating the dependence on online optimization.<\/p>\n\n<\/div>\r\n\n<\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\" \/>\n\n\n<div class=\"wsu-row wsu-row--halves\" >\r\n    \n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"792\" height=\"666\" src=\"https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/02\/Computationally_Efficient_Model_Predictive_Control_for_Resource_Constrained_Safety_Critical_Systems-792x666.jpg\" alt=\"\" class=\"wp-image-382\" srcset=\"https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/02\/Computationally_Efficient_Model_Predictive_Control_for_Resource_Constrained_Safety_Critical_Systems-792x666.jpg 792w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/02\/Computationally_Efficient_Model_Predictive_Control_for_Resource_Constrained_Safety_Critical_Systems-396x333.jpg 396w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/02\/Computationally_Efficient_Model_Predictive_Control_for_Resource_Constrained_Safety_Critical_Systems-768x646.jpg 768w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/02\/Computationally_Efficient_Model_Predictive_Control_for_Resource_Constrained_Safety_Critical_Systems-1536x1291.jpg 1536w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/02\/Computationally_Efficient_Model_Predictive_Control_for_Resource_Constrained_Safety_Critical_Systems-2048x1722.jpg 2048w\" sizes=\"(max-width: 792px) 100vw, 792px\" \/><\/figure>\n\n<\/div>\r\n\n\n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<p><strong><strong>Inexact Optimization Techniques for the Deployment of Safety-Critical Optimization-Based Control<\/strong><\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Goal:<\/strong>\u00a0The primary objective of this project is to develop inexact optimization techniques that enable the safe and stable deployment of optimization-based control frameworks (e.g., model predictive control) in safety-critical systems operating under strict computational constraints and dynamic environments. In particular, the project aims to enable reliable control decisions to be computed with limited computational resources.<\/p>\n\n<\/div>\r\n\n<\/div>\n\n\n<hr class=\"wp-block-separator has-css-opacity\" \/>\n\n\n<div class=\"wsu-row wsu-row--halves\" >\r\n    \n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<figure class=\"wp-block-image size-large is-resized\"><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/01\/flowchart_multiagent-792x749.jpg\" alt=\"\" class=\"wp-image-366\" width=\"397\" height=\"375\" srcset=\"https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/01\/flowchart_multiagent-792x749.jpg 792w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/01\/flowchart_multiagent-396x374.jpg 396w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/01\/flowchart_multiagent-768x726.jpg 768w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/01\/flowchart_multiagent-1536x1452.jpg 1536w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/01\/flowchart_multiagent-2048x1936.jpg 2048w\" sizes=\"(max-width: 397px) 100vw, 397px\" \/><\/figure>\n\n<\/div>\r\n\n\n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<p><strong>Provably-Safe Neural Controller for Nonlinear Systems <\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Goal:<\/strong>&nbsp;The primary objective is to develop neural controllers that replicate the behavior of optimal controllers for nonlinear systems, while ensuring rigorous guarantees for safety, stability, and high performance.<\/p>\n\n<\/div>\r\n\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n<div class=\"wsu-row wsu-row--halves\" >\r\n    \n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"792\" height=\"612\" src=\"https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2026\/03\/printed_fig_1-792x612.jpg\" alt=\"\" class=\"wp-image-548\" srcset=\"https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2026\/03\/printed_fig_1-792x612.jpg 792w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2026\/03\/printed_fig_1-396x306.jpg 396w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2026\/03\/printed_fig_1-768x593.jpg 768w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2026\/03\/printed_fig_1-1536x1187.jpg 1536w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2026\/03\/printed_fig_1-2048x1582.jpg 2048w\" sizes=\"(max-width: 792px) 100vw, 792px\" \/><\/figure>\n\n<\/div>\r\n\n\n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<p><strong>Behavior-Aware Human-Robot Interaction<\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Goal:<\/strong>\u00a0The primary objective of this project is to understand, model, and integrate human behavioral factors into robot action planning to improve the safety and efficiency of human-robot interaction. The project develops behavior-aware decision-making frameworks that enable robots to anticipate human intent, awareness, responsiveness, and cooperation, adapt their actions accordingly, and ensure safe and natural interaction in dynamic environments.<\/p>\n\n<\/div>\r\n\n<\/div>\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n<div class=\"wsu-row wsu-row--halves\" >\r\n    \n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"590\" height=\"381\" src=\"https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/03\/BigPicture.png\" alt=\"\" class=\"wp-image-391\" srcset=\"https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/03\/BigPicture.png 590w, https:\/\/wpcdn.web.wsu.edu\/wp-labs\/uploads\/sites\/3123\/2025\/03\/BigPicture-396x256.png 396w\" sizes=\"(max-width: 590px) 100vw, 590px\" \/><\/figure>\n\n<\/div>\r\n\n\n<div class=\"wsu-column\"  style=\"\">\r\n\t\n\n<p><strong>AI-Driven Farm Optimization for Enhancing Aquaculture Production Efficiency<\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><strong>Goal:<\/strong> The primary objective is to develop control-theoretic and AI-driven approaches to enhance aquaculture farm production and improve the resilience of cultured fish.<\/p>\n\n<\/div>\r\n\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":35095,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"wsuwp_university_location":[],"wsuwp_university_org":[],"_links":{"self":[{"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/pages\/154"}],"collection":[{"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/users\/35095"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/comments?post=154"}],"version-history":[{"count":30,"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/pages\/154\/revisions"}],"predecessor-version":[{"id":551,"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/pages\/154\/revisions\/551"}],"wp:attachment":[{"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/media?parent=154"}],"wp:term":[{"taxonomy":"wsuwp_university_location","embeddable":true,"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/wsuwp_university_location?post=154"},{"taxonomy":"wsuwp_university_org","embeddable":true,"href":"https:\/\/labs.wsu.edu\/siaslab\/wp-json\/wp\/v2\/wsuwp_university_org?post=154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}