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08/23/2023
In-Hand Cube Reconfiguration: Simplified
We present a simple approach to in-hand cube reconfiguration. By simplif...
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08/21/2023
Dexterous Soft Hands Linearize Feedback-Control for In-Hand Manipulation
This paper presents a feedback-control framework for in-hand manipulatio...
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10/13/2022
Augmentation for Learning From Demonstration with Environmental Constraints
We introduce a Learning from Demonstration (LfD) approach for contact-ri...
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08/22/2022
Passive and Active Acoustic Sensing for Soft Pneumatic Actuators
We propose a sensorization method for soft pneumatic actuators that uses...
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08/22/2022
A Virtual 2D Tactile Array for Soft Actuators Using Acoustic Sensing
We create a virtual 2D tactile array for soft pneumatic actuators using ...
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07/31/2022
One Object at a Time: Accurate and Robust Structure From Motion for Robots
A gaze-fixating robot perceives distance to the fixated object and relat...
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05/09/2022
"The World Is Its Own Best Model": Robust Real-World Manipulation Through Online Behavior Selection
Robotic manipulation behavior should be robust to disturbances that viol...
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01/27/2022
Surprisingly Robust In-Hand Manipulation: An Empirical Study
We present in-hand manipulation skills on a dexterous, compliant, anthro...
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01/26/2022
RBO Hand 3 – A Platform for Soft Dexterous Manipulation
We present the RBO Hand 3, a highly capable and versatile anthropomorphi...
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11/18/2021
A Low-Cost, Easy-to-Manufacture, Flexible, Multi-Taxel Tactile Sensor and its Application to In-Hand Object Recognition
Soft robotics is an emerging field that yields promising results for tas...
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10/28/2021
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Machine learning has long since become a keystone technology, accelerati...
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06/17/2018
The RBO Dataset of Articulated Objects and Interactions
We present a dataset with models of 14 articulated objects commonly foun...
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05/28/2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors
We present differentiable particle filters (DPFs): a differentiable impl...
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04/18/2018
The Limits and Potentials of Deep Learning for Robotics
The application of deep learning in robotics leads to very specific prob...
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11/19/2015
