Efficient Gesture Recognition on Spiking Convolutional Networks Through Sensor Fusion of Event-Based and Depth Data

no code implementations • 30 Jan 2024 • Lea Steffen, Thomas Trapp, Arne Roennau, Rüdiger Dillmann

As intelligent systems become increasingly important in our daily lives, new ways of interaction are needed.

Gesture Recognition Sensor Fusion

Learning Human-Inspired Force Strategies for Robotic Assembly

1 code implementation • 22 Mar 2023 • Stefan Scherzinger, Arne Roennau, Rüdiger Dillmann

The programming of robotic assembly tasks is a key component in manufacturing and automation.

Comparing SONN Types for Efficient Robot Motion Planning in the Configuration Space

no code implementations • 18 Mar 2022 • Lea Steffen, Tobias Weyer, Katharina Glueck, Stefan Ulbrich, Arne Roennau, Rüdiger Dillmann

Motion planning in the configuration space (C-space) induces benefits, such as smooth trajectories.

Motion Planning

Embodied Synaptic Plasticity with Online Reinforcement learning

1 code implementation • 3 Mar 2020 • Jacques Kaiser, Michael Hoff, Andreas Konle, J. Camilo Vasquez Tieck, David Kappel, Daniel Reichard, Anand Subramoney, Robert Legenstein, Arne Roennau, Wolfgang Maass, Rudiger Dillmann

We demonstrate this framework to evaluate Synaptic Plasticity with Online REinforcement learning (SPORE), a reward-learning rule based on synaptic sampling, on two visuomotor tasks: reaching and lane following.

reinforcement-learning Reinforcement Learning (RL)

Embodied Neuromorphic Vision with Event-Driven Random Backpropagation

no code implementations • 9 Apr 2019 • Jacques Kaiser, Alexander Friedrich, J. Camilo Vasquez Tieck, Daniel Reichard, Arne Roennau, Emre Neftci, Rüdiger Dillmann

In this setup, visual information is actively sensed by a DVS mounted on a robotic head performing microsaccadic eye movements.