BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Denver BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0700 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:MDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220602T214218Z UID:9972CBF0-39F6-46E3-9C66-28606BFA195F DTSTART;TZID=America/Denver:20220519T180000 DTEND;TZID=America/Denver:20220519T193000 DESCRIPTION:Tactical warfare is the maneuvering within a pre-planned path i n a battleground to gain additional advantages while still maintaining foc us on the mission. As technology advances\, the battleground has been expa nded from a 2-dimensional environment on the ground to a more complex 3-di mensional environment in the air and space above the ground. In this scena rio\, aircrafts are used as vehicles carrying weapons to deliver them to t he targets. The war scenario is an ongoing battle: as soon as one side gai ns an advantage through the use of aircrafts\, the other side will also de velop and use aircrafts of similar capability to neutralize that advantage \; and implement an air defense system to prevent the attacking aircraft t o successfully accomplish their mission.\n\nIn this project\, AI technolog y is used to develop a well-known tactic of avoiding a heat seeking missil e into an implementable algorithm that can be deployed by an onboard compu ter. The tactic\, while well known\, has a limitation due to the onboard i nstrumentation that does not tell the pilot\, through visualization\, the exact position and velocity of an incoming missile even though sensors alr eady had this complete information. Thus\, the algorithm provides an addit ional advantage of visualizing exactly the positions and velocities of the aircraft under attack and the incoming missile so that artificial bias ca n be calculated and implemented to push the aircraft out of the path of th e missile to avoid the collision. Computer simulations showed the effectiv eness of the algorithm\, even in scenarios where more than one missile is used in an attack. However\, the human in the loop (pilots)\, while recogn izing the effectiveness\, still prefer manual control because it is their life on the line and they understandably want to manage it with the skills that they already acquired through rigorous training.\n\nThe discussion o f the results will examine a scheme known as augmented intelligence where the AI algorithm still allows the pilot the complete control of the aircra ft and only activates the additional bias at the last moment of an imminen t collision. This co-existence between human and machine can gain easier a cceptance while increasing the effectiveness of avoiding missiles. However \, as mentioned earlier\, as soon as one side gains some tactical advantag es\, the other side will seek to neutralize this advantage. Thus\, this pr oject also examines the use of swarm intelligence to coordinate many missi les to attack an aircraft\, aiming the missiles at an envelope of attack i nstead of directly at the aircraft\, allowing the aircraft to maneuver onl y within the envelope while this envelope gradually shrinks to the eventua l point of collision. Understanding this coordination will provide insight s to improve the missile avoidance beyond the current tactics in the futur e.\n\nCo-sponsored by: David Bondurant\n\nSpeaker(s): Dr Trung T. Pham\, \ n\nVirtual: https://events.vtools.ieee.org/m/316170 LOCATION:Virtual: https://events.vtools.ieee.org/m/316170 ORGANIZER:john@e-liteworks.com SEQUENCE:0 SUMMARY:Using Artificial Bias to Assist Pilots in Avoiding Missiles URL;VALUE=URI:https://events.vtools.ieee.org/m/316170 X-ALT-DESC:Description: <br /><p><strong>Tactical warfare</strong>&nbsp\;is the maneuvering within a pre-planned path in a battleground to gain addit ional advantages while still maintaining focus on the mission. As technolo gy advances\, the battleground has been expanded from a 2-dimensional envi ronment on the ground to a more complex 3-dimensional environment in the a ir and space above the ground. In this scenario\, aircrafts are used as ve hicles carrying weapons to deliver them to the targets. The war scenario i s an ongoing battle: as soon as one side gains an advantage through the us e of aircrafts\, the other side will also develop and use aircrafts of sim ilar capability to neutralize that advantage\; and implement an air defens e system to prevent the attacking aircraft to successfully accomplish thei r mission.</p>\n<p>&nbsp\;</p>\n<p>In this project\,&nbsp\;<strong>AI tech nology</strong>&nbsp\;is used to develop a well-known tactic of avoiding a heat seeking missile into an implementable algorithm that can be deployed by an onboard computer. The tactic\, while well known\, has a limitation due to the onboard instrumentation that does not tell the pilot\, through visualization\, the exact position and velocity of an incoming missile eve n though sensors already had this complete information. Thus\, the algorit hm provides an additional advantage of visualizing exactly the positions a nd velocities of the aircraft under attack and the incoming missile so tha t artificial bias can be calculated and implemented to push the aircraft o ut of the path of the missile to avoid the collision. Computer simulations showed the effectiveness of the algorithm\, even in scenarios where more than one missile is used in an attack. However\, the human in the loop (pi lots)\, while recognizing the effectiveness\, still prefer manual control because it is their life on the line and they understandably want to manag e it with the skills that they already acquired through rigorous training. </p>\n<p>&nbsp\;</p>\n<p>The discussion of the results will examine a sche me known as&nbsp\;<strong>augmented intelligence</strong>&nbsp\;where the AI algorithm still allows the pilot the complete control of the aircraft a nd only activates the additional bias at the last moment of an imminent co llision. This co-existence between human and machine can gain easier accep tance while increasing the effectiveness of avoiding missiles. However\, a s mentioned earlier\, as soon as one side gains some tactical advantages\, the other side will seek to neutralize this advantage. Thus\, this projec t also examines the use of swarm intelligence to coordinate many missiles to attack an aircraft\, aiming the missiles at an envelope of attack inste ad of directly at the aircraft\, allowing the aircraft to maneuver only wi thin the envelope while this envelope gradually shrinks to the eventual po int of collision. Understanding this coordination will provide insights to improve the missile avoidance beyond the current tactics in the future.</ p> END:VEVENT END:VCALENDAR