DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group


Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

Career

Award


Haptic Intelligence Robotics Miscellaneous Soft Magnetic Fingertip Devices for Clear Vibrotactile Feedback Gertler, I., Ballardini, G., Grüninger, F., Kuchenbecker, K. J. Hands-on demonstration presented at the IEEE World Haptics Conference (WHC), Suwon, South Korea, July 2025 (Published) BibTeX

Haptic Intelligence Robotics Miscellaneous Bio-Inspired Gradient (BIG) Whiskers: Stiffness-Shifting Structures Provide Dynamic Functional Benefits for Contact Sensing Schulz, A. K., Andrussow, I., Farsijani, F., Faulkner, R., Kuchenbecker, K. J. Extended abstract (3 pages) presented at the IEEE-RAS International Conference on Soft Robotics (RoboSoft), Lausanne, Switzerland, April 2025 (Published)
Mammal whiskers have inspired many sensors that can help robots find obstacles, identify textures, or sense flow. Though they vary in geometry, past bio-inspired whisker sensors were primarily constructed from homogenous materials. Interestingly, animal whiskers tend to shift from a stiff root to a much softer point; this material stiffness gradient is hypothesized to provide functional benefits such as reduction of wear and amplification of contact sensations. We take inspiration from nature to fabricate bio-inspired gradient (BIG) whiskers via 3D printing, and we assess their performance compared to stiff, medium, and soft homogenous artificial whiskers with the same geometry. Tests with controlled quasi-static and dynamic perturbations allow us to measure the whisker point deflection and the reaction torque at the stationary whisker root, respectively. The dynamic results reveal that BIG whiskers uniquely encode contact location along their length through torque magnitude and frequency, features that are not seen in the homogenous whiskers. These exciting preliminary findings motivate further exploration of robotic whiskers and other sensing structures with bio-inspired stiffness gradients.
BibTeX

Haptic Intelligence Robotics Miscellaneous Modeling Shank Tissue Properties and Quantifying Body Composition with a Wearable Actuator-Accelerometer Set Rokhmanova, N., Martus, J., Faulkner, R., Fiene, J., Kuchenbecker, K. J. Extended abstract (1 page) presented at the American Society of Biomechanics Annual Meeting (ASB), Madison, USA, August 2024 (Published) BibTeX

Haptic Intelligence Robotics Miscellaneous GaitGuide: A Wearable Device for Vibrotactile Motion Guidance Rokhmanova, N., Martus, J., Faulkner, R., Fiene, J., Kuchenbecker, K. J. Workshop paper (3 pages) presented at the ICRA Workshop on Advancing Wearable Devices and Applications Through Novel Design, Sensing, Actuation, and AI, Yokohama, Japan, May 2024 (Published)
Wearable vibrotactile devices can provide salient sensations that attract the user's attention or guide them to change. The future integration of such feedback into medical or consumer devices would benefit from understanding how vibrotactile cues vary in amplitude and perceived strength across the heterogeneity of human skin. Here, we developed an adhesive vibrotactile device (the GaitGuide) that uses two individually mounted linear resonant actuators to deliver directional motion guidance. By measuring the mechanical vibrations of the actuators via small on-board accelerometers, we compared vibration amplitudes and perceived signal strength across 20 subjects at five signal voltages and four sites around the shank. Vibrations were consistently smallest in amplitude—but perceived to be strongest—at the site located over the tibia. We created a fourth-order linear dynamic model to capture differences in tissue properties across subjects and sites via optimized stiffness and damping parameters. The anterior site had significantly higher skin stiffness and damping; these values also correlate with subject-specific body-fat percentages. Surprisingly, our study shows that the perception of vibrotactile stimuli does not solely depend on the vibration magnitude delivered to the skin. These findings also help to explain the clinical practice of evaluating vibrotactile sensitivity over a bony prominence.
URL BibTeX

Haptic Intelligence Robotics Miscellaneous Strap Tightness and Tissue Composition Both Affect the Vibration Created by a Wearable Device Rokhmanova, N., Faulkner, R., Martus, J., Fiene, J., Kuchenbecker, K. J. Work-in-progress paper (1 page) presented at the IEEE World Haptics Conference (WHC), Delft, the Netherlands, July 2023 (Published)
Wearable haptic devices can provide salient real-time feedback (typically vibration) for rehabilitation, sports training, and skill acquisition. Although the body provides many sites for such cues, the influence of the mounting location on vibrotactile mechanics is commonly ignored. This study builds on previous research by quantifying how changes in strap tightness and local tissue composition affect the physical acceleration generated by a typical vibrotactile device.
BibTeX

Haptic Intelligence Robotics Miscellaneous Sensor Patterns Dataset for Endowing a NAO Robot with Practical Social-Touch Perception Burns, R. B., Lee, H., Seifi, H., Faulkner, R., Kuchenbecker, K. J. Dataset published as a companion to the journal article "Endowing a NAO Robot with Practical Social-Touch Perception" in Frontiers in Robotics and AI, March 2022 (Published) DOI BibTeX

Haptic Intelligence Robotics Miscellaneous User Study Dataset for Endowing a NAO Robot with Practical Social-Touch Perception Burns, R. B., Lee, H., Seifi, H., Faulkner, R., Kuchenbecker, K. J. Dataset published as a companion to the journal article "Endowing a NAO Robot with Practical Social-Touch Perception" in Frontiers in Robotics and AI, March 2022 (Published) DOI BibTeX

Empirical Inference Robotics Miscellaneous A Robot Cluster for Reproducible Research in Dexterous Manipulation Wüthrich*, M., Widmaier*, F., Bauer*, S., Funk, N., Urain, J., Peters, J., Watson, J., Chen, C., Srinivasan, K., Zhang, J., Zhang, J., Walter, M. R., Madan, R., Schaff, C., Maeda, T., Yoneda, T., Yarats, D., Allshire, A., Gordon, E. K., Bhattacharjee, T., et al. 2021, *equal contribution (Published) arXiv BibTeX