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Dane Brouwer

4 accepted papers

2026

Gentle Object Retraction in Dense Clutter Using Multimodal Force Sensing and Imitation Learning

RA-L 2026

Dense collections of movable objects are common in everyday spaces-from cabinets in a home to shelves in a warehouse. Safely retracting objects from such collections is difficult for robots, yet people do it frequently, leveraging learned experience in tandem with vision and non-prehensile tactile s

Cited by 0SourceScholar
2024

Tactile-Informed Action Primitives Mitigate Jamming in Dense Clutter

ICRA 2024poster

It is difficult for robots to retrieve objects in densely cluttered lateral access scenes with movable objects as jamming against adjacent objects and walls can inhibit progress. We propose the use of two action primitives— burrowing and excavating—that can fluidize the scene to unjam obstacles and…

Cited by 2SourcecodeScholar
2022

Deep Learning Classification of Touch Gestures Using Distributed Normal and Shear Force

IROS 2022poster

When humans socially interact with another agent (e.g., human, pet, or robot) through touch, they do so by applying varying amounts of force with different directions, locations, contact areas, and durations. While previous work on touch gesture recognition has focused on the spatio-temporal distrib…

Cited by 13SourceScholar
2021

A Stretchable Tactile Sleeve for Reaching Into Cluttered Spaces

RA-L 2021

We present a highly conformable stretchable sensory skin made of soft components. The skin uses low pressure pneumatic taxels and stretchable channels to conduct pressure signals to off-board micro-electromechanical systems (MEMS) pressure sensors. The force sensing range captures down to 0.01 N and

Cited by 10SourceScholar