Gabriel Baraban — accepted AI-conference papers

2023

A Small Form Factor Aerial Research Vehicle for Pick-and-Place Tasks with Onboard Real-Time Object Detection and Visual Odometry

Cora A. Dimmig, Anna Goodridge, Gabriel Baraban, Pupei Zhu, Joyraj Bhowmick, Marin Kobilarov

IROS 2023poster

This paper introduces a novel, small form-factor, aerial vehicle research platform for agile object detection, classification, tracking, and interaction tasks. General-purpose hardware components were designed to augment a given aerial vehicle and enable it to perform safe and reliable grasping. The…

Cited by 6 Source ↗Scholar ↗

2021

Improving the Reliability of Pick-and-Place With Aerial Vehicles Through Fault-Tolerant Software and a Custom Magnetic End-Effector

Gowtham Garimella, Matthew Sheckells, Soowon Kim, Gabriel Baraban, Marin Kobilarov

RA-L 2021

Aerial manipulation is an emerging field in robotics with various potential applications such as transport and delivery, agriculture, and, infrastructure inspection. To deploy aerial vehicles in the real world, the safety and reliability of these systems is paramount. Motivated by the need for safet

Cited by 16 Source ↗Scholar ↗