World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8248
World Ranking
8749
National Ranking
3740

Overview

Nancy S. Pollard is affiliated with Carnegie Mellon University in the United States. Their research primarily spans the fields of Engineering and Computer Science, with key subfields including Control and Systems Engineering, Biomedical Engineering, Human-Computer Interaction, Computer Vision and Pattern Recognition, and Mechanical Engineering.

The main topics of their work involve Robot Manipulation and Learning, Human Motion and Animation, Hand Gesture Recognition Systems, Soft Robotics and Applications, Human Pose and Action Recognition, Teleoperation and Haptic Systems, and Muscle Activation and Electromyography Studies.

Frequent co-authors collaborating with Nancy S. Pollard include Arjun Lakshmipathy, Dominik Bauer, Jean Oh, Arjun S. Lakshmipathy, and Nicole C. Feng.

Pollard has published several papers in a variety of venues. Notable recent papers include:

  • "Contact Transfer: A Direct, User-Driven Method for Human to Robot Transfer of Grasps and Manipulations" (2022) in the 2022 International Conference on Robotics and Automation (ICRA)
  • "Contact Edit: Artist Tools for Intuitive Modeling of Hand-Object Interactions" (2023) in ACM Transactions on Graphics
  • "Characterizing Continuous Manipulation Families for Dexterous Soft Robot Hands" (2021) in Frontiers in Robotics and AI
  • "Configuration Lattices for Planar Contact Manipulation Under Uncertainty" (2020) in Springer proceedings in advanced robotics
  • "Kinematic Motion Retargeting for Contact-Rich Anthropomorphic Manipulations" (2025) in ACM Transactions on Graphics

The venues where Pollard frequently publishes include arXiv (Cornell University), ACM Transactions on Graphics, the 2022 International Conference on Robotics and Automation (ICRA), Frontiers in Robotics and AI, and Springer proceedings in advanced robotics.

Best Publications

  • Interactive control of avatars animated with human motion data

    Jehee Lee;Jinxiang Chai;Paul S. A. Reitsma;Jessica K. Hodgins

  • Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces

    Alla Safonova;Jessica K. Hodgins;Nancy S. Pollard

  • Segmenting motion capture data into distinct behaviors

    Jernej Barbič;Alla Safonova;Jia-Yu Pan;Christos Faloutsos

  • Adapting human motion for the control of a humanoid robot

    N.S. Pollard;J.K. Hodgins;M.J. Riley;C.G. Atkeson

  • Adapting simulated behaviors for new characters

    Jessica K. Hodgins;Nancy S. Pollard

  • Efficient synthesis of physically valid human motion

    Anthony C. Fang;Nancy S. Pollard

  • Data-Driven Grasp Synthesis Using Shape Matching and Task-Based Pruning

    Li Ying;J.L. Fu;N.S. Pollard

  • DynaMMo: mining and summarization of coevolving sequences with missing values

    Lei Li;James McCann;Nancy S. Pollard;Christos Faloutsos

  • Physically based grasping control from example

    Nancy S. Pollard;Victor Brian Zordan

  • Pre- and post-contact policy decomposition for planar contact manipulation under uncertainty

    Michael C. Koval;Nancy S. Pollard;Siddhartha S. Srinivasa

  • Real-time gradient-domain painting

    James McCann;Nancy S. Pollard

  • Closure and Quality Equivalence for Efficient Synthesis of Grasps from Examples

    Nancy S. Pollard

  • Perceptual metrics for character animation: sensitivity to errors in ballistic motion

    Paul S. A. Reitsma;Nancy S. Pollard

  • Evaluating motion graphs for character animation

    Paul S. A. Reitsma;Nancy S. Pollard

  • Responsive characters from motion fragments

    James McCann;Nancy Pollard

  • An integrated system for autonomous robotics manipulation

    J. Andrew Bagnell;Felipe Cavalcanti;Lei Cui;Thomas Galluzzo

  • Fast simulation of skeleton-driven deformable body characters

    Junggon Kim;Nancy S. Pollard

  • Constrained Least-Squares Optimization for Robust Estimation of Center of Rotation

    Lillian Y. Chang;Nancy S. Pollard

  • Synthesizing grasps from generalized prototypes

    N.S. Pollard

  • Tendon arrangement and muscle force requirements for human-like force capabilities in a robotic finger

    N.S. Pollard;R.C. Gilbert

Frequent Co-Authors

Siddhartha S. Srinivasa
Siddhartha S. Srinivasa University of Washington
Jessica K. Hodgins
Jessica K. Hodgins Carnegie Mellon University
J. Andrew Bagnell
J. Andrew Bagnell Carnegie Mellon University
Stelian Coros
Stelian Coros ETH Zurich
James J. Kuffner
James J. Kuffner Toyota Motor Corporation (United States)
Christos Faloutsos
Christos Faloutsos Carnegie Mellon University
Tamim Asfour
Tamim Asfour Karlsruhe Institute of Technology
Jeffrey F. Cohn
Jeffrey F. Cohn University of Pittsburgh
Christopher G. Atkeson
Christopher G. Atkeson Carnegie Mellon University
Matthew T. Mason
Matthew T. Mason Carnegie Mellon University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring alternative online degrees can help broaden your skill set, create new career opportunities, or complement your background in computer science. Programs like the executive mba offer a strategic blend of technology and management—ideal for those eyeing leadership roles in tech-driven industries.

If you’re interested in information science, consider online mlis programs (Master of Library and Information Science). These programs focus on data organization, digital archiving, and information ethics, making them relevant for tech-savvy professionals.

Affordability is often a concern. Fortunately, there are many options for cheap online master’s programs where you can develop specialized expertise and keep costs manageable.

For those aiming for top-level positions or academic careers, a doctorate organizational leadership provides advanced training in driving innovation and managing complex organizations—skills highly valued in the tech sector.

Best Scientists Citing Nancy S. Pollard

Trending Scientists