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Email: bduister@cs.cmu.edu I am a Ph.D. student at Carnegie Mellon University (CMU), in the Robotics Institute advised by Sebastian Scherer. Before coming to CMU, I completed a Bachelor's and Master's degree in Aerospace Engineering at Delft University of Technology, in the Netherlands. Advised by Guido de Croon, I studied efficient bio-inspired algorithms for autonomous flight of tiny flying drones. In 2019 I was a visiting student at Vijay Janapa Reddi's Edge Computing lab, at Harvard University, where we studied Deep Reinforcement Learning for tiny robots. My research focus continues to be on efficient AI for fully autonomous operation of resource-constrained miniature robots. At the intersection of computer vision, machine learning, and systems, I hope to contribute to a future where robots are affordable, safe, and useful.CV / Google Scholar / Twitter / LinkedIn / Github |
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Bardienus P Duisterhof, Shushuai Li, Javier Burgués, Vijay Janapa Reddi, Guido C.H.E. de Croon IROS, 2021 arXiv / video / code We have developed a swarm of autonomous, tiny drones that is able to localize gas sources in unknown, cluttered environments. Bio-inspired AI allows the drones to tackle this complex task without any external infrastructure. |
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Bardienus P Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust , Guido C.H.E. de Croon, Vijay Janapa Reddi ICRA, 2021 paper / video / code We present fully autonomous source seeking onboard a highly constrained nano quadcopter, by contributing application-specific system and observation feature design to enable inference of a deep-RL policy onboard a nano quadcopter. |
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Diana A. Olejnik, Bardienus P Duisterhof, Matej Karásek , Kirk Y. W. Scheper, Tom van Dijk, Guido C.H.E. de Croon Unmanned Systems, Vol. 08, No. 04, pp. 287-294 , 2020 paper / video This paper describes the computer vision and control algorithms used to achieve autonomous flight with the ∼30g tailless flapping wing robot, used to participate in the International Micro Air Vehicle Conference and Competition (IMAV 2018) indoor microair vehicle competition. |
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| AE2235-I: Aerospace Systems & Control Theory |
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Forbes IEEE Spectrum Video Friday Robohub Bitcraze Blog PiXL Drone Show |
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Best Graduate in Engineering, TU Delft, academic year 2020-2021 Best Graduate in Aerospace Engineering, TU Delft, academic year 2020-2021 Innovation Award, IMAV 2018 Autonomous Drone Race |
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Modified version of template from here |