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Adaptive, Neural Robot Control - Path Planning on 3D Spiking Neural Networks., , , , and . ICANN (2), volume 12397 of Lecture Notes in Computer Science, page 509-520. Springer, (2020)Multi-View 3D Reconstruction with Self-Organizing Maps on Event-Based Data., , , and . ICAR, page 501-508. IEEE, (2019)A Benchmark Environment for Neuromorphic Stereo Vision., , , , and . Frontiers Robotics AI, (2021)Towards a Vision-Based Concept for Gesture Control of a Robot Providing Visual Feedback., , , , and . ROBIO, page 386-392. IEEE, (2018)A Trajectory Planner For Mobile Robots Steering Non-Holonomic Wheelchairs In Dynamic Environments., , , , and . ICRA, page 3642-3648. IEEE, (2023)Multi-Modal Motion Activation for Robot Control Using Spiking Neurons., , , , and . BioRob, page 291-298. IEEE, (2018)Networks of Place Cells for Representing 3D Environments and Path Planning., , , , , and . BioRob, page 1158-1165. IEEE, (2020)The Neurorobotics Platform for Teaching - Embodiment Experiments with Spiking Neural Networks and Virtual Robots., , , , , , , and . CBS, page 291-298. IEEE, (2019)Creating an Obstacle Memory Through Event-Based Stereo Vision and Robotic Proprioception., , , , , , , and . CASE, page 1829-1836. IEEE, (2019)Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data., , , and . CoRR, (2024)