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Carolyn Matl

7 accepted papers

2023

Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach

RSS 2023poster

We present our general-purpose mobile manipulation system consisting of a custom robot platform and key algorithms spanning perception and planning. To extensively test the system in the wild and benchmark its performance, we choose a grocery shopping scenario in an actual, unmodified grocery store.…

2021

Deformable Elasto-Plastic Object Shaping using an Elastic Hand and Model-Based Reinforcement Learning

IROS 2021poster

Deformable solid objects such as clay or dough are prevalent in industrial and home environments. However, robotic manipulation of such objects has largely remained unexplored in literature due to the high complexity involved in representing and modeling their deformation. This work addresses the pr…

Cited by 21SourceScholar
2020

Inferring the Material Properties of Granular Media for Robotic Tasks

ICRA 2020poster

Granular media (e.g., cereal grains, plastic resin pellets, and pills) are ubiquitous in robotics-integrated industries, such as agriculture, manufacturing, and pharmaceutical development. This prevalence mandates the accurate and efficient simulation of these materials. This work presents a softwar…

Cited by 50SourceScholar
2020

STReSSD: Sim-To-Real from Sound for Stochastic Dynamics

CoRL 2020

Sound is an information-rich medium that captures dynamic physical events. This work presents STReSSD, a framework that uses sound to bridge the simulation-to-reality gap for stochastic dynamics, demonstrated for the canonical case of a bouncing ball. A physically-motivated noise model is presented

Cited by 0SourcePDFScholar