@article{bozkurt_lobaton_sichitiu_hedrick_latif_dirafzoon_whitmire_verderber_marin_xiong_et al._2014, title={Biobotic Insect Swarm based Sensor Networks for Search and Rescue}, volume={9091}, ISSN={["1996-756X"]}, url={http://dx.doi.org/10.1117/12.2053906}, DOI={10.1117/12.2053906}, abstractNote={The potential benefits of distributed robotics systems in applications requiring situational awareness, such as search-and-rescue in emergency situations, are indisputable. The efficiency of such systems requires robotic agents capable of coping with uncertain and dynamic environmental conditions. For example, after an earthquake, a tremendous effort is spent for days to reach to surviving victims where robotic swarms or other distributed robotic systems might play a great role in achieving this faster. However, current technology falls short of offering centimeter scale mobile agents that can function effectively under such conditions. Insects, the inspiration of many robotic swarms, exhibit an unmatched ability to navigate through such environments while successfully maintaining control and stability. We have benefitted from recent developments in neural engineering and neuromuscular stimulation research to fuse the locomotory advantages of insects with the latest developments in wireless networking technologies to enable biobotic insect agents to function as search-and-rescue agents. Our research efforts towards this goal include development of biobot electronic backpack technologies, establishment of biobot tracking testbeds to evaluate locomotion control efficiency, investigation of biobotic control strategies with Gromphadorhina portentosa cockroaches and Manduca sexta moths, establishment of a localization and communication infrastructure, modeling and controlling collective motion by learning deterministic and stochastic motion models, topological motion modeling based on these models, and the development of a swarm robotic platform to be used as a testbed for our algorithms.}, journal={SIGNAL PROCESSING, SENSOR/INFORMATION FUSION, AND TARGET RECOGNITION XXIII}, publisher={SPIE}, author={Bozkurt, A. and Lobaton, E. and Sichitiu, Mihail L. and Hedrick, T. and Latif, T. and Dirafzoon, A. and Whitmire, E. and Verderber, A. and Marin, J. and Xiong, H. and et al.}, editor={Kadar, IvanEditor}, year={2014} }
 @article{verderber_mcknight_bozkurt_2014, title={Early Metamorphic Insertion Technology for Insect Flight Behavior Monitoring}, ISSN={["1940-087X"]}, DOI={10.3791/50901}, abstractNote={Early Metamorphosis Insertion Technology (EMIT) is a novel methodology for integrating microfabricated neuromuscular recording and actuation platforms on insects during their metamorphic development. Here, the implants are fused within the structure and function of the neuromuscular system as a result of metamorphic tissue remaking. The implants emerge with the insect where the development of tissue around the electronics during pupal development results in a bioelectrically and biomechanically enhanced tissue interface. This relatively more reliable and stable interface would be beneficial for many researchers exploring the neural basis of the insect locomotion with alleviated traumatic effects caused during adult stage insertions. In this article, we implant our electrodes into the indirect flight muscles of Manduca sexta. Located in the dorsal-thorax, these main flight powering dorsoventral and dorsolongitudinal muscles actuate the wings and supply the mechanical power for up and down strokes. Relative contraction of these two muscle groups has been under investigation to explore how the yaw maneuver is neurophysiologically coordinated. To characterize the flight dynamics, insects are often tethered with wires and their flight is recorded with digital cameras. We also developed a novel way to tether Manduca sexta on a magnetically levitating frame where the insect is connected to a commercially available wireless neural amplifier. This set up can be used to limit the degree of freedom to yawing "only" while transmitting the related electromyography signals from dorsoventral and dorsolongitudinal muscle groups.}, number={89}, journal={JOVE-JOURNAL OF VISUALIZED EXPERIMENTS}, author={Verderber, Alexander and McKnight, Michael and Bozkurt, Alper}, year={2014}, month={Jul} }
 @inproceedings{verderber_mcknight_bozkurt_2013, title={Electromagnetic levitation platform for wireless study of insect flight neurophysiology}, DOI={10.1109/embc.2013.6609851}, abstractNote={An electromagnetic levitation platform for use in a light emitting diode (LED) arena based virtual reality environment was developed for wireless recording of neural and neuromuscular signals from the flight related muscle groups in Manduca sexta. The platform incorporates the use of Early Metamorphosis Insertion Technology to implant recording electrodes into the flight muscles of late stage pupal moths. Analysis of the insects' response to changes in the LED arena rotation direction indicate that this setup could be used to perform a variety of flight behavior studies during yaw maneuvers.}, booktitle={2013 35th annual international conference of the ieee engineering in medicine and biology society (embc)}, author={Verderber, A. and McKnight, M. and Bozkurt, A.}, year={2013}, pages={1720–1723} }