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Computer Science

D-Index
48
Citations
8389
World Ranking
6221
National Ranking
288

Overview

Katherine J. Kuchenbecker is affiliated with the Max Planck Institute for Intelligent Systems in Germany. Their research primarily spans the fields of engineering and neuroscience, with a significant focus on cognitive neuroscience and biomedical engineering as key subfields.

The main topics of Kuchenbecker's work include tactile and sensory interactions, muscle activation and electromyography studies, robot manipulation and learning, motor control and adaptation, teleoperation and haptic systems, advanced sensor and energy harvesting materials, and surgical simulation and training.

They have authored recent papers such as:

  • "A soft thumb-sized vision-based sensor with accurate all-round force perception" (2022), published in Nature Machine Intelligence
  • "Exercising with Baxter: preliminary support for assistive social-physical human-robot interaction" (2020), published in Journal of NeuroEngineering and Rehabilitation
  • "In the Arms of a Robot: Designing Autonomous Hugging Robots with Intra-Hug Gestures" (2023), published in ACM Transactions on Human-Robot Interaction
  • "Predicting the Force Map of an ERT-Based Tactile Sensor Using Simulation and Deep Networks" (2022), published in IEEE Transactions on Automation Science and Engineering
  • "Minsight: A Fingertip-Sized Vision-Based Tactile Sensor for Robotic Manipulation" (2023), published in Advanced Intelligent Systems

Kuchenbecker frequently collaborates with co-authors including Bernard Javot, Huanbo Sun, Georg Martius, Jeremy D. Brown, and Hyosang Lee.

Their publication venues also demonstrate a consistent emphasis on specific journals and platforms such as arXiv (Cornell University), IEEE Transactions on Haptics, Frontiers in Robotics and AI, Advanced Materials Technologies, and Advanced Intelligent Systems.

Best Publications

  • Vibrotactile Display: Perception, Technology, and Applications

    Seungmoon Choi;K. J. Kuchenbecker

  • Human-Inspired Robotic Grasp Control With Tactile Sensing

    J. M. Romano;K. Hsiao;G. Niemeyer;S. Chitta

  • Improving contact realism through event-based haptic feedback

    K.J. Kuchenbecker;J. Fiene;G. Niemeyer

  • Deep learning for tactile understanding from visual and haptic data

    Yang Gao;Lisa Anne Hendricks;Katherine J. Kuchenbecker;Trevor Darrell

  • Cutaneous Feedback of Fingertip Deformation and Vibration for Palpation in Robotic Surgery

    Claudio Pacchierotti;Domenico Prattichizzo;Katherine J. Kuchenbecker

  • Creating Realistic Virtual Textures from Contact Acceleration Data

    J. M. Romano;K. J. Kuchenbecker

  • A soft thumb-sized vision-based sensor with accurate all-round force perception

    Huanbo Sun;Katherine J. Kuchenbecker;Georg Martius

  • Modeling and Rendering Realistic Textures from Unconstrained Tool-Surface Interactions

    Heather Culbertson;Juliette Unwin;Katherine J. Kuchenbecker

  • Tool Contact Acceleration Feedback for Telerobotic Surgery

    W. McMahan;J. Gewirtz;D. Standish;P. Martin

  • Robotic learning of haptic adjectives through physical interaction

    Vivian Chu;Ian McMahon;Lorenzo Riano;Craig G. McDonald

  • Effects of Vibrotactile Feedback on Human Learning of Arm Motions

    Karlin Bark;Emily Hyman;Frank Tan;Elizabeth Cha

  • Evaluation of Tactile Feedback Methods for Wrist Rotation Guidance

    A. A. Stanley;K. J. Kuchenbecker

  • One hundred data-driven haptic texture models and open-source methods for rendering on 3D objects

    Heather Culbertson;Juan Jose Lopez Delgado;Katherine J. Kuchenbecker

  • Importance of Matching Physical Friction, Hardness, and Texture in Creating Realistic Haptic Virtual Surfaces

    Heather Culbertson;Katherine J. Kuchenbecker

  • Using robotic exploratory procedures to learn the meaning of haptic adjectives

    Vivian Chu;Ian McMahon;Lorenzo Riano;Craig G. McDonald

  • Contact Location Display for Haptic Perception of Curvature and Object Motion

    William R. Provancher;Mark R. Cutkosky;Katherine J. Kuchenbecker;Günter Niemeyer

  • Dimensional reduction of high-frequency accelerations for haptic rendering

    Nils Landin;Joseph M. Romano;William McMahan;Katherine J. Kuchenbecker

  • Characterizing the Human Wrist for Improved Haptic Interaction

    Katherine J. Kuchenbecker;June Gyu Park;Gu¨nter Niemeyer

  • Surgeons and non-surgeons prefer haptic feedback of instrument vibrations during robotic surgery

    Jacqueline K. Koehn;Katherine J. Kuchenbecker

  • VerroTouch: high-frequency acceleration feedback for telerobotic surgery

    Katherine J. Kuchenbecker;Jamie Gewirtz;William McMahan;Dorsey Standish

Frequent Co-Authors

Claudio Pacchierotti
Claudio Pacchierotti Centre national de la recherche scientifique, CNRS
Allison M. Okamura
Allison M. Okamura Stanford University
Domenico Prattichizzo
Domenico Prattichizzo University of Siena
Günter Niemeyer
Günter Niemeyer California Institute of Technology
Trevor Darrell
Trevor Darrell University of California, Berkeley
Laurel J. Buxbaum
Laurel J. Buxbaum Thomas Jefferson University
Hiroyuki Kajimoto
Hiroyuki Kajimoto University of Electro-Communications
Yang Gao
Yang Gao Google (United Kingdom)
Karon E. MacLean
Karon E. MacLean University of British Columbia
Vijay Kumar
Vijay Kumar University of Pennsylvania

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