Publications

Mazumdar, A., Deal, S.J., Nichols, H.L., & Nichols, H.L. (2024). Autonomous Emergency Landing for Fixed-Wing Aircraft with Energy-Constrained Closed-Loop Prediction. Journal of Aerospace Information Systems, 21(5), pp. 430-442. https://doi.org/10.2514/1.i011328

Williams, K., Mazumdar, A., Goddard, Z.C., Wardlaw, K., & Wardlaw, K. (2023). Selecting Minimal Motion Primitive Libraries with Genetic Algorithms. Journal of Aerospace Information Systems, 20(10), pp. 618-626. https://doi.org/10.2514/1.i011188

Su, J., Mazumdar, A., Hilborn, H., Jorgensen, H., & Jorgensen, H. (2023). Benchtop Experimental Studies of Stick-slip Mitigation Methods [Conference Presenation]. https://doi.org/10.2172/2430815

Mazumdar, A., Hilborn, H., Jorgensen, H., Su, J., & Su, J. (2023). Benchtop Experimental Studies of Stick-slip MitigationMethods [Conference Paper]. https://www.osti.gov/biblio/2431754

Sacks, J., Bruss, K.J., Choi, K.S., Buerger, S., Boots, B., Su, J., Mazumdar, A., & Mazumdar, A. (2023). Design and Experimental Validation of a Machine Learning Estimation System for Down-hole Drilling Performance [Conference Paper]. https://www.osti.gov/biblio/2432114

Sacks, J., Choi, K.S., Bruss, K.J., Su, J., Buerger, S., Boots, B., Mazumdar, A., & Mazumdar, A. (2023). Design and Experimental Validation of a Machine Learning Estimation System for Down-hole Drilling Performance [Conference Presenation]. https://doi.org/10.2172/2432053

Choi, K.S., Williams, K., Mazumdar, A., & Mazumdar, A. (2022). Improving the Maneuver Autamaton with Maneuver Interruption [Conference Paper]. https://www.osti.gov/biblio/2006260

Nichols, H., Jimenez, M., Goddard, Z., Sparapany, M., Boots, B., Mazumdar, A., & Mazumdar, A. (2022). Adversarial Sampling-Based Motion Planning. IEEE Robotics and Automation Letters, 7(2), pp. 4267-4274. https://doi.org/10.1109/LRA.2022.3148464

Goddard, Z.C., Wardlaw, K., Williams, K., Parish, J.M., Mazumdar, A., & Mazumdar, A. (2022). Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner. Journal of Aerospace Information Systems, 19(7), pp. 468-479. https://doi.org/10.2514/1.i011044

Mazumdar, A., Buerger, S., Foris, A.J., Su, J., & Su, J. (2021). A Modular Mechanism for Downhole Weight-on-Bit and Torque Reaction in Small Diameter Boreholes. Journal of Energy Resources Technology, Transactions of the ASME, 143(10). https://doi.org/10.1115/1.4051099

Su, J., Bettin, G., Buerger, S., Rittikaidachar, M., Hobart, C., Slightam, J., McBrayer, K.L., Gonzalez, L.M., Pope, J., Foris, A.J., Bruss, K., Kim, R., Mazumdar, A., & Mazumdar, A. (2021). Direct Subsurface Measurements through Precise Micro Drilling. https://doi.org/10.2172/1821966

Scaks, J., Choi, K., Bruss, K., Su, J., Buerger, S., Mazumdar, A., Boots, B., & Boots, B. (2021). Machine Learning Methods for Estimating Down-Hole Depth of Cut [Conference Presenation]. https://doi.org/10.2172/1888384

Mazumdar, A., Buerger, S., Foris, A.J., Faircloth, B., Kaspereit, D., Su, J., & Su, J. (2021). Evaluation of Microhole Drilling Technology for Geothermal Exploration, Assessment, And Monitoring. https://doi.org/10.2172/1832088

Sacks, J., Choi, K., Bruss, K., Su, J., Buerger, S., Mazumdar, A., Boots, B., & Boots, B. (2021). Machine learning methods for estimating down-hole depth of cut [Conference Paper]. Transactions - Geothermal Resources Council. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120058422&origin=inward

Su, J., Mazumdar, A., Buerger, S., Foris, A.J., Faircloth, B., & Faircloth, B. (2021). Evaluation of Microhole drilling technology for geothermal exploration, assessment, and monitoring [Conference Paper]. Transactions - Geothermal Resources Council. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85120087662&origin=inward

Buerger, S., Hobart, C., Spencer, S.J., Kuehl, M., Mazumdar, A., Quigley, M., Smith, J., Bertrand, S., Pratt, J., & Pratt, J. (2020). Achieving Versatile Energy Efficiency With the WANDERER Biped Robot [Conference Poster]. https://www.osti.gov/biblio/1812444

Goddard, Z., Wardlaw, K., Krishnam, R., Tsiotras, P., Smith, M.R., Sena, M.R., Parish, J.M., Mazumdar, A., & Mazumdar, A. (2020). Utilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner [Conference Poster]. https://www.osti.gov/biblio/1787738

Hobart, C., Mazumdar, A., Spencer, S.J., Quigley, M., Smith, J.P., Bertrand, S., Pratt, J., Kuehl, M., Buerger, S., & Buerger, S. (2020). Achieving Versatile Energy Efficiency with the WANDERER Biped Robot. IEEE Transactions on Robotics, 36(3), pp. 959-966. https://doi.org/10.1109/TRO.2020.2969017

Mazumdar, A., Goddard, Z., & Goddard, Z. (2019). Automated Motion Libraries for Enhanced Data-Driven Intelligence (FY19 Technical Report). https://doi.org/10.2172/1574249

Spencer, S.J., Mazumdar, A., Buerger, S., Pratt, J., Bertrand, S., & Bertrand, S. (2019). Optimization of Adjustable Drivetrain Assistance Mechanisms for Efficient Robotic Bipeds. https://doi.org/10.2172/1592940

Mazumdar, A., Su, J., Spencer, S.J., Buerger, S., & Buerger, S. (2019). Autonomous control of pneumatically-powered percussive drilling through highly layered formations [Conference Poster]. Proceedings of the American Control Conference. https://doi.org/10.23919/ACC.2019.8815280

Mazumdar, A., Su, J., Spencer, S.J., Buerger, S., & Buerger, S. (2019). Autonomous Control of Pneumatically-Powered Percussive Drilling Through Highly Layered Formations [Conference Poster]. https://doi.org/10.23919/ACC.2019.8815280

Buerger, S., Mazumdar, A., Spencer, S.J., & Spencer, S.J. (2018). Energy Implications of Torque Feedback Control and Series Elastic Actuators for Mobile Robots [Conference Poster]. https://doi.org/10.1115/DSCC2018-9141

Mazumdar, A., Mazumdar, Y.C., van Bloemen Waanders, B.G., Brooks, C.F., Kuehl, M., Nemer, M., & Nemer, M. (2018). Wireless Temperature Sensing Using Permanent Magnets for Nonlinear Feedback Control of Exothermic Polymers. IEEE Sensors Journal, 18(19), pp. 7970-7979. https://doi.org/10.1109/JSEN.2018.2863249

Mazumdar, A., van Bloemen Waanders, B.G., Bond, S.D., Nemer, M., & Nemer, M. (2018). Remote Distributed Vibration Sensing Through Opaque Media Using Permanent Magnets. IEEE Transactions on Magnetics, 54(6). https://doi.org/10.1109/TMAG.2018.2816578