首页|Findings on Robotics and Automation Discussed by Investigators at Northwestern P olytechnic University (Collaborative Constrained Target-reaching Control In a Mu ltiplayer Reach-avoid Game)

Findings on Robotics and Automation Discussed by Investigators at Northwestern P olytechnic University (Collaborative Constrained Target-reaching Control In a Mu ltiplayer Reach-avoid Game)

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Researchers detail new data in Robotic s -Robotics and Automation. According to news originating from Xi'an, People's Republic of China, by NewsRx correspondents, research stated, "For a high-value attacker, relocating it is more valuable than destroying it. This relocation iss ue involves luring an adversarial agent along a predefined path to reach a goal in a non-convex domain." Funders for this research include National Natural Science Foundation of China ( NSFC), Shaanxi Innovative Talent Pandeng Program for Young Science and Technolog y Rising Star Project. Our news journalists obtained a quote from the research from Northwestern Polyte chnic University, "Here, we define it as a collaborative constrained target-reac hing (CTR) problem. We introduce a novel virtual defense channel to define a sym metric dynamic extend target set, enabling us to treat the CTR problem as an agg regation of individual two-player reach-avoid (RA) games and obtain analytical s trategies for defenders. First, we describe the partition of the game space and construct barriers using explicit policy methods and geometric analysis. This al lows us to determine if a solution to the game exists based on players' initial conditions. Second, we develop nonlinear state feedback strategies using a suita ble risk metric. These strategies are based on prescribed performance control, o ffering a viable framework for practical scenarios with control errors."

Xi'anPeople's Republic of ChinaAsiaRobotics and AutomationRoboticsNorthwestern Polytechnic University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.7)