2020 - Member of the National Academy of Engineering For contributions to the design and implementation of distributed automation systems for commercial applications.
2016 - IEEE Robotics & Automation Award “For pioneering contributions to design and implementation of distributed cooperative robotics and automation systems for commercial applications.”
His main research concerns Control theory, Simulation, Control engineering, Trajectory and Robot. His Control theory study incorporates themes from Invariant and Position. His work deals with themes such as Ball, Inventory system, Mobile robot, Workspace and Point, which intersect with Simulation.
The concepts of his Control engineering study are interwoven with issues in Scale model, Computer hardware and Dependability. His work carried out in the field of Trajectory brings together such families of science as Bang–bang control, Model predictive control, Mathematical optimization and Vehicle dynamics. The Robot study combines topics in areas such as Multimedia, Real-time computing and Distributed computing.
His primary areas of investigation include Control theory, Control engineering, Mathematical optimization, Robot and Trajectory. His Control theory study frequently intersects with other fields, such as Simulation. Raffaello D'Andrea interconnects Control and Computer hardware in the investigation of issues within Control engineering.
Raffaello D'Andrea has included themes like Computational complexity theory and Robust control in his Mathematical optimization study. His studies in Robot integrate themes in fields like Real-time computing and Distributed computing. His biological study spans a wide range of topics, including Model predictive control, Position and Motion control.
Control theory, Artificial intelligence, Model predictive control, Computer vision and Actuator are his primary areas of study. Many of his studies on Control theory involve topics that are commonly interrelated, such as Thrust. His Model predictive control research is multidisciplinary, relying on both Linear-quadratic regulator, Mathematical optimization, Optimal control, Basis function and Parametrization.
His Computer vision study combines topics from a wide range of disciplines, such as Robot, Tactile sensor and Absolute positioning. His studies deal with areas such as Real-time computing, Simulation and Engineering drawing as well as Robot. His Vehicle dynamics research is multidisciplinary, incorporating perspectives in Approximation algorithm, Motion control, Control engineering, Multirotor and Computation.
The scientist’s investigation covers issues in Control theory, Real-time computing, Robot, Position and Trajectory. His Control theory study frequently involves adjacent topics like Control engineering. The various areas that Raffaello D'Andrea examines in his Real-time computing study include Localization system, Transceiver, Transmission schedule and Electronics.
In general Robot, his work in Robot kinematics is often linked to Contact force linking many areas of study. His Trajectory research incorporates elements of Gradient descent, Swarm behaviour, Computation and Motion control. In Control theory, Raffaello D'Andrea works on issues like Attitude control, which are connected to Optimal control.
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Distributed control design for spatially interconnected systems
R. D'Andrea;G.E. Dullerud.
IEEE Transactions on Automatic Control (2003)
Coordinating Hundreds of Cooperative, Autonomous Vehicles in Warehouses
Peter R. Wurman;Raffaello D'Andrea;Mick Mountz.
Ai Magazine (2008)
RoboEarth - A World Wide Web for Robots
Markus Waibel;Michael Beetz;Raffaello D'Andrea;Rob Janssen.
international conference on robotics and automation (2011)
Distributed control design for systems interconnected over an arbitrary graph
C. Langbort;R.S. Chandra;R. D'Andrea.
IEEE Transactions on Automatic Control (2004)
A simple learning strategy for high-speed quadrocopter multi-flips
Sergei Lupashin;Angela Schollig;Michael Sherback;Raffaello D'Andrea.
international conference on robotics and automation (2010)
Method and system for transporting inventory items
Raffaello D'Andrea;Peter K. Mansfield;Michael Cordell Mountz;Dennis Polic.
The Flight Assembled Architecture installation: Cooperative construction with flying machines
Frederico Augugliaro;Sergei Lupashin;Michael Hamer;Cason Male.
IEEE Control Systems Magazine (2014)
Near-optimal dynamic trajectory generation and control of an omnidirectional vehicle
Tamás Kalmár-Nagy;Raffaello D’Andrea;Pritam Ganguly.
Robotics and Autonomous Systems (2004)
Stability and control of a quadrocopter despite the complete loss of one, two, or three propellers
Mark W. Mueller;Raffaello D'Andrea.
international conference on robotics and automation (2014)
Rapyuta: A Cloud Robotics Platform
Gajamohan Mohanarajah;Dominique Hunziker;Raffaello D'Andrea;Markus Waibel.
IEEE Transactions on Automation Science and Engineering (2015)
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