首页|Studies from Technical University Munich (TU Munich) Yield New Data on Robotics (A Novel Safety-aware Energy Tank Formulation Based On Control Barrier Functions )

Studies from Technical University Munich (TU Munich) Yield New Data on Robotics (A Novel Safety-aware Energy Tank Formulation Based On Control Barrier Functions )

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news originating from Munich, Germany, by NewsRx cor respondents, research stated, "In this work, we propose a novel formulation for energy tanks based on Control Barrier Functions (CBF). Our approach is able to h andle simultaneously energy constraints to ensure passivity, as well as enforce power limits in the system to enhance safety." Financial support for this research came from European Union (EU). Our news journalists obtained a quote from the research from Technical Universit y Munich (TU Munich), "Furthermore, our approach overcomes the discrete switchin g nature of classical energy tanks, ensuring smooth control commands. To achieve our desiderata, we formulate our tank as a second order dynamical system, where we exploit CBF and Higher-Order CBF to obtain theoretical guarantees on fulfill ing the energy and power constraints in the system. Furthermore, we derive condi tions related to our tank design in order to ensure the passivity of the control led robot."

MunichGermanyEuropeEmerging Techno logiesMachine LearningRobotRoboticsTechnical University Munich (TU Munic h)

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.30)