{"id":5270,"date":"2026-01-08T12:04:08","date_gmt":"2026-01-08T11:04:08","guid":{"rendered":"https:\/\/mecatron.rma.ac.be\/?page_id=5270"},"modified":"2026-01-08T13:16:17","modified_gmt":"2026-01-08T12:16:17","slug":"evandro-bernardes","status":"publish","type":"page","link":"https:\/\/mecatron.rma.ac.be\/index.php\/people\/evandro-bernardes\/","title":{"rendered":"Evandro Bernardes"},"content":{"rendered":"

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Researcher<\/span><\/h4>\n

Robotics & Autonomous Systems,
Royal Military Academy<\/p>\n

Address<\/h4>\n

Avenue De La Renaissance 30, 1000 Brussels, Belgium<\/p>\n

Contact Information<\/h4>\n

Call<\/strong>: –<\/p>\n

Email<\/strong>: Evandro.Bernardes@mil.be<\/a><\/p>\n

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Evandro Bernardes is a Senior Researcher in the Robotics & Autonomous Systems (RAS) unit at the Royal Military Academy (RMA) in Brussels, Belgium.<\/div>\n
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He holds a double degree in Electrical Engineering from the State University of Maring\u00e1 (UEM<\/a>) and an MSc degree in Robotics Engineering from\u00a0ENSTA Bretagne<\/a>, obtained in 2017. He earned his PhD in Robotics Engineering from\u00a0Aix-Marseille University<\/a>\u00a0in 2023, where he was part of the Biorobotics team from the Institute of Movement Sciences (ISM<\/a>). His doctoral thesis was intitled “OrigaBot: origami-based reconfigurable robots for multi-modal locomotion<\/a>“.<\/div>\n
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During his PhD, Evandro worked in collaboration with the\u00a0iCube<\/a>\u00a0laboratory from the University of Strasbourg and\u00a0FEMTO-ST<\/a>\u00a0in the OrigaBot project, which aimed to\u00a0develop an innovative mobile robot based on a new family of origami structures. His contributions included the design of origami-based structures and the analysis, simulation and non-linear control of a flying monorotor.<\/div>\n
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Evandro joined the RMA in 2026 to participate in the\u00a0iMUGS2<\/a>\u00a0project, a follow-up to iMUGS, aiming at developing a modular, standardized, and open system architecture for manned-unmanned team of robots to support armed forces on the field. He is interested in 3D kinematics, state estimation, sensor fusion and control.<\/div>\n
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