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Search Publications by: Pavel Piliptchak (Fed)

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Displaying 1 - 6 of 6

Geometric Red-Teaming for Robotic Manipulation

October 14, 2025
Author(s)
Divyam Goel, Yufei Wang, Tiancheng Wu, Guixiu Qiao, Pavlo Piliptchak, David Held, Zackory Erickson
Standard evaluation protocols in robotic manipulation typically assess policy performance over curated, in-distribution test sets, offering limited insight into how systems fail under plausible variation. We introduce a red-teaming framework that probes

Merging Outcomes of SAM Applied to RGB and Depth Images in Bin Picking Applications

April 19, 2024
Author(s)
Marek Franaszek, Prem Rachakonda, Pavel Piliptchak, Kamel S. Saidi
Segmenting images containing many objects stacked in unstructured piles is a challenging and vital task in robotic bin picking applications. Objects in such images are congested and occluded but, nevertheless, must be accurately segmented to calculate

Assessing Industrial Robot agility through international competitions

August 31, 2021
Author(s)
Anthony Downs, Zeid Kootbally, William Harrison, Pavlo Piliptchak, Brian Antonishek, Murat Aksu, Craig I. Schlenoff
Manufacturing and Industrial Robotics have reached a point where in order to be more useful to small and medium sized manufacturers, the systems must become more agile and able to adapt to changes in the environment. This paper describes the process for

Runtime Verification of the ARIAC Competition: Can a Robot be Agile and Safe at the Same Time?

November 27, 2020
Author(s)
Angelo Ferrando, Zeid Kootbally, Pavlo Piliptchak, Rafael Cardoso, Craig I. Schlenoff, Michael Fisher
ARIAC (Agile Robotics for Industrial Automation Competition) is a robotic competition which aims to advance robotic agility in industry. Participants in this competition are required to implement a robot control system to overcome agility challenges in a

Physics-based Simulation of Agile Robotic Systems

November 14, 2019
Author(s)
Pavlo Piliptchak, Murat Aksu, Frederick M. Proctor, John L. Michaloski
Development and testing of industrial robot environments is hampered by the limited availability of hardware resources. Simulations provide a more accessible and readily modifiable alternative to physical testing, but also require careful design to ensure
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