most citedA Deep Signed Directional Distance Function for Object Shape Representation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO2026

An Automated Thickness Evaluation Procedure Using an Integrated Structured Light 3D Camera in a Robotic Bioprinting Framework

Ehsan Zobeidi, Omid Rezayof, Farshid Alambeigi

Bioprinting is emerging as a tissue engineering technique to replace common treatment methods for large scale injuries. While thickness of the BioPrinted Constructs (BPCs) have sho…

cs.RO2026

A Physics-Based Closed-Loop Robotic Bioprinting Framework Towards Volumetric Muscle Loss Treatment

Omid Rezayof, Jerin T. Andrews, Ehsan Zobeidi +5

Robotic bioprinting and Direct Ink Writing (DIW) are being explored towards the treatment of Volumetric Muscle Loss (VML). While previous studies have shown the importance of prope…

cs.RO2021

Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication

James Di, Ehsan Zobeidi, Alec Koppel +1

Multi-agent mapping is a fundamentally important capability for autonomous robot task coordination and execution in complex environments. While successful algorithms have been prop…

cs.CV2021★ 1 cited

A Deep Signed Directional Distance Function for Object Shape Representation

Ehsan Zobeidi, Nikolay Atanasov

Neural networks that map 3D coordinates to signed distance function (SDF) or occupancy values have enabled high-fidelity implicit representations of object shape. This paper develo…

cs.RO2021

Dense Incremental Metric-Semantic Mapping for Multi-Agent Systems via Sparse Gaussian Process Regression

Ehsan Zobeidi, Alec Koppel, Nikolay Atanasov

We develop an online probabilistic metric-semantic mapping approach for mobile robot teams relying on streaming RGB-D observations. The generated maps contain full continuous distr…