Jacqueline Libby (jlibby)

Jacqueline Libby

Assistant Professor

Charles V. Schaefer, Jr. School of Engineering and Science

Department of Mechanical Engineering

Edwin A. Stevens Hall 321
(201) 216-5317
Website

Education

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

Research

Dr. Libby's research interests are in medical robotics, soft robotics, and physical Human-Robot Interaction (pHRI). This includes research and technology in mechatronics, mechanical design, biosignal processing, additive manufacturing, hybrid fabrication, machine perception, computer vision, and active learning. My lab's mission is to build robotic systems which physically interact with the human body to provide both musculoskeletal and neuromuscular rehabilitation.

General Information

Dr. Libby has expertise in Computer Science, Mechanical Engineering, Robotics, Machine Learning, and Rehabilitation Engineering. She received her B.Sc. from Brown University in Computer Science and her M.Sc. from Carnegie Mellon University in Mechanical Engineering. She earned her Ph.D. from Carnegie Mellon's Robotics Institute, with a focus on field robotics. Dr. Libby was awarded a two-year fellowship for her post-doctorate from NYU's Center for Urban Science and Progress. This fellowship enabled her to pursue her interest in interdisciplinary research at the intersection of engineering and rehabilitation medicine. At NYU, she mentored students in Mechanical Engineering, Mechatronics, and Robotics. While at NYU, she also taught a Master's level applied machine learning course. Dr. Libby started in September, 2023 as an Assistant Professor at Stevens. She directs the Robotic Systems for Health Lab, where she works with her team of motivated students to develop novel smart health technologies. She combines her background in soft robotics, mechanical design, machine learning, robotic perception, biosensing, and software engineering to build fully integrated systems for physical Human-Robot Interaction in the medical domain.

Institutional Service

  • 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

Professional Service

  • 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

Appointments

Assistant Professor, Department of Mechanical Engineering, Stevens Institute of Technology, 2023-Present
Postdoctoral Associate, Tandon School of Engineering, New York University, 2021-2023

Honors and Awards

CUSP Postdoctoral Associate Award, 2021
Center for Urban Science and Progress (CUSP), New York University
Two-year postdoctoral fellowship to conduct groundbreaking interdisciplinary work between the Tandon School of Engineering and NYU School of Medicine.

Nomination for Best Automation Paper, 2011
IEEE International Conference on Robotics and Automation (ICRA)
Paper title: Deployment of a Point and Line Feature Localization System for an Outdoor Agriculture Vehicle

Professional Societies

  • 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

Selected Publications

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. 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.

Courses

(Stevens, 2024) SSW 322: Engineering Design VI
(Stevens 2024) SSW 695: Software Engineering Capstone
(NYU Postdoctorate, 2023) CUSP GX 5003 Machine Learning for Cities