activity
20162022
most citedOcclusion-robust Deformable Object Tracking without Physics Simulation

44 citations · 75 across the 14 of their papers we have counts for

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24 papers · 1 filter

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.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.RO20221 cited

Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection

Thomas Power, Dmitry Berenson

We propose a Model Predictive Control (MPC) method for collision-free navigation that uses amortized variational inference to approximate the distribution of optimal control sequen…

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…

cs.RO20212 cited

CLASP: Constrained Latent Shape Projection for Refining Object Shape from Robot Contact

Brad Saund, Dmitry Berenson

Robots need both visual and contact sensing to effectively estimate the state of their environment. Camera RGBD data provides rich information of the objects surrounding the robot,…

cs.RO2021

Fusing RGBD Tracking and Segmentation Tree Sampling for Multi-Hypothesis Volumetric Segmentation

Andrew Price, Kun Huang, Dmitry Berenson

Despite rapid progress in scene segmentation in recent years, 3D segmentation methods are still limited when there is severe occlusion. The key challenge is estimating the segment…