Applied Mechanics

Postal address
Pleinlaan 2
Phone: +32-2-6292816


  • Prof. dr. ir. Bram Vanderborght was born in Belgium in 1980. I received the degree in the study of Mechanical Engineering at the Vrije Universiteit Brussel in 2003 with highest distinction. Since 2003 I was researcher at the VUB, supported by the Fund for Scientific Research Flanders (FWO). In May 2007 I received my PhD in Applied. The focus of my research was the use of adaptable compliance of pneumatic artificial muscles in the dynamically balanced biped Lucy. In May-June 2006 I performed research on the humanoids robot HRP-2 at the Joint Japanese/French Robotics Laboratory (JRL) in AIST, Tsukuba (Japan)in the research "Dynamically stepping over large obstacles by the humanoid robot HRP-2". I received a 3-year post-doc grant with mobility grant from the FWO. From October 2007-April 2010 I worked as post-doc researcher at the Italian Institute of Technology in Genova (Italy) on the humanoid robot iCub and compliant actuation. Since October 2009, I am appointed as professor at the VUB where I teach mechatronics and give a robotics project. From October 2011-Sept 2016, I was research director at the Universitatea Babes-Bolyai, Department of Clinical Psychology and Psychotherapy with a project on robot assisted therapy with ASD children and VUB-PI of the  DREAM project. I received an ERC Starting Grant on Series-Parallel Elastic Actuation for Robotics (SPEAR). I am currently coordinating the EU FET SHERO on self healing soft robotics and Marie Curie ITN SMART. I was member of the Young Academy of the Royal Flemish Academy of Belgium for Science and the Arts. My research interests includes cognitive and physical human robot interaction, robot assisted therapy, humanoids and rehabilitation robotics with core technology of using variable impedance actuators (see here for overview).

Research output

  1. Variable Impedance Actuators

    Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary

  2. A review of gait phase detection algorithms for lower limb prostheses

    Research output: Contribution to journalArticle

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  1. PROUD: A Hybrid Model-Based/Learning Approach for Symbolic-Level Robot Programming by User Demonstration

    Activity: Talk or presentationTalk or presentation at a workshop/seminar

  2. Self-healing soft robotic grippers based on the Diels-Alder reaction

    Activity: Talk or presentationTalk or presentation at a conference

  3. Thermoreversible covalent networks for soft robotics

    Activity: Talk or presentationTalk or presentation at a conference

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