|
Email: bduister@cs.cmu.edu I am a Ph.D. student at Carnegie Mellon University, in the Robotics Institute. My research interest is in efficient AI for fully autonomous operation of resource-constrained robots. At the intersection of computer vision, machine learning and systems, I hope to contribute to a future where robots complete tedious and dangerous tasks for humans.CV / Google Scholar / Twitter / LinkedIn / Github |
|
|
|
|
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. |
|
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. |
|
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. |
|
|
| AE2235-I: Aerospace Systems & Control Theory |
|
|
|
Forbes IEEE Spectrum Video Friday Robohub Bitcraze Blog |
|
Modified version of template from here |