Jacqueline Libby

• PhD (2019) Carnegie Mellon University (Robotics)
• MS (2008) Carnegie Mellon University (Mechanical Engineering)
• BS (2001) Brown University (Computer Science)

• SSE Software Engineering Academic Committee Member
• School of Systems & Enterprises Member
• Schaefer School of Engineering Member
• Schaefer School of Engineering & Science Member
• AI Faculty Roundtable Member
• School of Systems & Enterprises Member
• School of Systems & Enterprises Member
• Flock Together Stevens Family Day, SSE Breakfast Member
• School of Systems & Enterprises Member
• Convocation Member

• New York Robotics Network Panel Speaker
• IEEE International Conference on Soft Robotics Reviewer
• IEEE Transactions on Neural Systems and Rehabilitation Engineering Reviewer
• IEEE International Symposium on Medical Robotics Reviewer

• ICORR – IEEE International Consortium For Rehabilitation Robotics Member
• IEEE Engineering in Medicine and Biology Society Member
• IEEE Robotics and Automation Society Member
• IEEE Signal Processing Society Member
• IEEE – Institute of Electrical and Electronics Engineers Member

Conference Proceeding

1. Libby, J.; Somwanshi, A. A.; Stancati, F.; Tyagi, G.; Patel, A.; Bhatt, N.; Rizzo, J.; Atashzar, S. F. (2023). What Happens When Pneu-Net Soft Robotic Actuators Get Fatigued?. International Symposium on Medical Robotics (ISMR) (pp. 1--6).
   https://ieeexplore.ieee.org/abstract/document/10130227.
2. Sun, T.; Libby, J.; Rizzo, J.; Atashzar, S. F. (2022). Deep Augmentation for Electrode Shift Compensation in Transient High-density sEMG: Towards Application in Neurorobotics. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 6148--6153). IEEE.
   https://ieeexplore.ieee.org/abstract/document/9981786.
3. Libby, J.; Stentz, A. (2021). Multiclass Terrain Classification using Sound and Vibration from Mobile Robot Terrain Interaction. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2305--2312). IEEE.
   https://ieeexplore.ieee.org/abstract/document/9636237.
4. Bagnell, J. A.; Cavalcanti, F.; Cui, L.; Galluzzo, T.; Hebert, M.; Kazemi, M.; Klingensmith, M.; Libby, J.; Liu, T. Y.; Pollard, N.; others (2012). An integrated system for autonomous robotics manipulation. RSJ International Conference on Intelligent Robots and Systems (pp. 2955--2962). IEEE.
   https://ieeexplore.ieee.org/abstract/document/6385888.
5. Freitas, G. M.; Libby, J.; Hamner, B.; Bergerman, M.; Kantor, G. A.; Zhang, J. (2012). A Practical Localization System for Orchard Vehicles. Proceedings of Brazilian Conference on Automatics.
   https://www.ri.cmu.edu/publications/a-practical-localization-system-for-orchard-vehicles/.
6. Libby, J.; Stentz, A. J. (2012). Using sound to classify vehicle-terrain interactions in outdoor environments. IEEE International Conference on Robotics and Automation (ICRA) (pp. 3559--3566). IEEE.
   https://ieeexplore.ieee.org/abstract/document/6225357.
7. Libby, J.; Kantor, G. (2011). Deployment of a point and line feature localization system for an outdoor agriculture vehicle. IEEE International Conference on Robotics and Automation (ICRA) (pp. 1565--1570). IEEE.
   https://ieeexplore.ieee.org/abstract/document/5980430.
8. Libby, J.; Kantor, G. (2010). Accurate GPS-free positioning of utility vehicles for specialty agriculture. ASABE Annual International Meeting (pp. 1). ASABE.
   https://elibrary.asabe.org/abstract.asp?JID=5&AID=29645&CID=pitt2010&T=1.
9. Singh, S.; Baugher, T. A.; Bergerman, M.; Ellis, K.; Grocholsky, B.; Hamner, B.; Harper, J.; Hoheisel, G.; Hull, L.; Jones, V.; Kantor, G.; Kliethermes, B.; Koselka, H.; Lewis, K.; Libby, J.; Messner, W.; Ngugi, H.; Owen, J.; Park, J.; Seavert, C.; Shi, W.; Teza, J. (2009). Automation for specialty crops: A comprehensive strategy, current results, and future goals. The 4th IFAC International Workshop on Bio-Robotics, Information Technology and Intelligent Control for Bioproduction Systems. IFAC.
   https://kilthub.cmu.edu/articles/journal_contribution/Automation_for_Specialty_Crops_A_Comprehensive_Strategy_Current_Results_and_Future_Goals/6552110.

Journal Article

1. Massoud, M. M.; Alves, P. H.; Libby, J. (2025). Enhancing Dual-Loop Pressure Control in Pneumatic Soft Robotics With a Comparison of Evolutionary Algorithms for PID & FOPID Controller Tuning. IEEE Robotics and Automation Letters (6 ed., vol. 10, pp. 6119-6126). Institute of Electrical and Electronics Engineers (IEEE).
   https://doi.org/10.1109/lra.2025.3563163.
2. Massoud, M. M.; Libby, J. (2024). Comparative Analysis of Evolutionary Algorithms for PID Controller Optimization in Pneumatic Soft Robotic Systems: A Simulation and Experimental Study. IEEE Access (vol. 12, pp. 151749-151769). Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE).
   https://doi.org/10.1109/access.2024.3480834.
3. Sun, T.; Hu, Q.; Libby, J.; Atashzar, S. F. (2022). Deep heterogeneous dilation of LSTM for transient-phase gesture prediction through high-density electromyography: Towards application in neurorobotics. IEEE Robotics and Automation Letters (2 ed., vol. 7, pp. 2851--2858). IEEE.
   https://ieeexplore.ieee.org/abstract/document/9681377.

PhD Dissertation

1. Libby, J. (2019). Self-Supervised Learning on Mobile Robots Using Acoustics, Vibration, and Visual Models to Build Rich Semantic Terrain Maps. Carnegie Mellon University ProQuest Dissertations Publishing.
   https://www.proquest.com/openview/6c6f260d0fa60331b159c1c153f6a979/1?cbl=18750&diss=y&pq-origsite=gscholar&parentSessionId=IHayoJmricnfV4lkghkE50oDUDFuzxEt9XcPaLKLQPo%3D.