activity
20162022
most citedLearning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact

7 citations · 23 across the 9 of their papers we have counts for

collaborators

13 papers

cs.RO20223 cited

Lumped-Parameter Modeling and Control for Robotic High-Viscosity Fluid Dispensing in Additive Manufacturing

William van den Bogert, James Lorenz, Xili Yi +2

In this paper, we present a novel flow model and compensation strategy for high-viscosity fluid deposition that yields high quality parts in the face of large transient delays and…

cs.RO20225 cited

Learning the Dynamics of Compliant Tool-Environment Interaction for Visuo-Tactile Contact Servoing

Mark Van der Merwe, Dmitry Berenson, Nima Fazeli

Many manipulation tasks require the robot to control the contact between a grasped compliant tool and the environment, e.g. scraping a frying pan with a spatula. However, modeling…

cs.RO20221 cited

VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects

Youngsun Wi, Andy Zeng, Pete Florence +1

Deformable objects manipulation can benefit from representations that seamlessly integrate vision and touch while handling occlusions. In this work, we present a novel approach for…

cs.RO20224 cited

Visuo-Tactile Transformers for Manipulation

Yizhou Chen, Andrea Sipos, Mark Van der Merwe +1

Learning representations in the joint domain of vision and touch can improve manipulation dexterity, robustness, and sample-complexity by exploiting mutual information and compleme…

cs.RO20223 cited

Manipulation via Membranes: High-Resolution and Highly Deformable Tactile Sensing and Control

Miquel Oller, Mireia Planas, Dmitry Berenson +1

Collocated tactile sensing is a fundamental enabling technology for dexterous manipulation. However, deformable sensors introduce complex dynamics between the robot, grasped object…

cs.RO2022

Soft Tracking Using Contacts for Cluttered Objects to Perform Blind Object Retrieval

Sheng Zhong, Nima Fazeli, Dmitry Berenson

Retrieving an object from cluttered spaces suchas cupboards, refrigerators, or bins requires tracking objects with limited or no visual sensing. In these scenarios, contact feedbac…