The structural power of reconfigurable circuits in the amoebot model
A. Padalkin, C. Scheideler, D. Warner, Natural Computing (2024).

Brief Announcement: Collision Detection for Modular Robots - It Is Easy to Cause Collisions and Hard to Avoid Them
S. Gupta, M.J. van Kreveld, O. Michail, A. Padalkin, in: A. Casteigts, F. Kuhn (Eds.), 3rd Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2024, June 5-7, 2024, Patras, Greece, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024, p. 26:1–26:5.

Reconfiguration and Locomotion with Joint Movements in the Amoebot Model
A. Padalkin, M. Kumar, C. Scheideler, in: A. Casteigts, F. Kuhn (Eds.), 3rd Symposium on Algorithmic Foundations of Dynamic Networks, SAND 2024, June 5-7, 2024, Patras, Greece, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2024, p. 18:1–18:20.

Polylogarithmic Time Algorithms for Shortest Path Forests in Programmable Matter
A. Padalkin, C. Scheideler, in: Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing, ACM, 2024.

Coordinating Amoebots via Reconfigurable Circuits
M. Feldmann, A. Padalkin, C. Scheideler, S. Dolev, J. Comput. Biol. 29 (2022) 317–343.

The Structural Power of Reconfigurable Circuits in the Amoebot Model
A. Padalkin, C. Scheideler, D. Warner, in: T.E. Ouldridge, S.F.J. Wickham (Eds.), 28th International Conference on DNA Computing and Molecular Programming (DNA 28), Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 2022, p. 8:1–8:22.

Coordinating Amoebots via Reconfigurable Circuits
M. Feldmann, A. Padalkin, C. Scheideler, S. Dolev, in: C. Johnen, E. Michael Schiller, S. Schmid (Eds.), Stabilization, Safety, and Security of Distributed Systems - 23rd International Symposium, (SSS) 2021, Virtual Event, November 17-20, 2021, Proceedings, Springer, 2021, pp. 484–488.

Fire Containment by Back Burning on Grids
A. Padalkin, Fire Containment by Back Burning on Grids, Rheinische Friedrich-Wilhelms-Universität Bonn, 2019.

Modulbasierte Realisierung eines mittels Backpropagation lernenden Neuronalen Netzes auf einem FPGA
A. Padalkin, Modulbasierte Realisierung Eines Mittels Backpropagation Lernenden Neuronalen Netzes Auf Einem FPGA, Rheinische Friedrich-Wilhelms-Universität Bonn, 2016.