C-ABT: A continuous control layer for inter-agent collision avoidance based on asynchronous backtracking. - Joachim Müller 003; Alberto Viseras Ruiz; Christoph Manss; Thomas Wiedemann 002 (CCA, 2015)

Exploration under sparsity constraints. - Christoph Manss; Dmitriy Shutin; Alberto Viseras Ruiz; Thomas Wiedemann 002; Joachim Müller 003 (ECMR, 2015)

Decentralized multi-agent exploration with online-learning of Gaussian processes. - Alberto Viseras Ruiz; Thomas Wiedemann 002; Christoph Manss; Lukas Magel; Joachim Müller 003; Dmitriy Shutin; Luis Merino (ICRA, 2016)

Probabilistic modeling of gas diffusion with partial differential equations for multi-robot exploration and gas source localization. - Thomas Wiedemann 002; Christoph Manss; Dmitriy Shutin; Achim J. Lilienthal; Valentina Karolj; Alberto Viseras Ruiz (ECMR, 2017)

Entropy Driven Height Profile Estimation with Multiple UAVs under Sparsity Constraints. - Christoph Manss; Thomas Wiedemann 002; Dmitriy Shutin (GLOBECOM Workshops, 2017)

Distributed Splitting-Over-Features Sparse Bayesian Learning with Alternating Direction Method of Multipliers. - Christoph Manss; Dmitriy Shutin; Geert Leus (ICASSP, 2018)

Multi-agent exploration of spatial dynamical processes under sparsity constraints. - Thomas Wiedemann 002; Christoph Manss; Dmitriy Shutin (Auton. Agents Multi Agent Syst., 2018)

Coordination Methods for Entropy-Based Multi-Agent Exploration Under Sparsity Constraints. - Christoph Manss; Dmitriy Shutin; Alberto Viseras; Geert Leus (CAMSAP, 2019)

Beehive-Inspired Information Gathering with a Swarm of Autonomous Drones. - Alberto Viseras Ruiz; Thomas Wiedemann 002; Christoph Manss; Valentina Karolj; Dmitriy Shutin; Juan Marchal Gomez (Sensors, 2019)

Consensus Based Distributed Sparse Bayesian Learning by Fast Marginal Likelihood Maximization. - Christoph Manss; Dmitriy Shutin; Geert Leus (IEEE Signal Process. Lett., 2020)

Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning. - Christoph Manss; Isabel Kuehner; Dmitriy Shutin (Entropy, 2022)

AI-based Maize and Weeds detection on the edge with CornWeed Dataset. - Naeem Iqbal; Christoph Manss; Christian Scholz; Philipp Daniel König; Matthias Igelbrink; Arno Ruckelshausen (FedCSIS, 2023)

Towards selective hoeing depending on evaporation from the soil. - Christoph Manss; Kai von Szadkowski; Janis Bald; David Richard; Christian Scholz; Philipp Daniel König; Arno Ruckelshausen (GIL Jahrestagung, 2023)

Cropline and Weed Detection in Corn Using Weak Supervision. - Christoph Manss; Isabel Guenther; Florian Rahe (SGAI Conf., 2023)

Assessment of ground conditions in grassland on a mower with artificial intelligence. - Christoph Manss; Viktor Martel; Roman Weisgerber (GIL, 2024)

Interactive Simulator Framework for XAI Applications in Aquatic Environments. - Ahmed H. Elsayed; Tarek A. El-Mihoub; Christoph Manss; André Miedtank; Lars Nolle; Frederic T. Stahl (SGAI Conf. (1), 2024)

Multi-Agent Exploration under Sparsity Constraints. - Christoph Manss (2024)