The generation of discrete movement with distinct and stable time courses characterizes each human movement and reflect the need to perform catching and interception tasks and for timed action sequences, incorporating dynamically changing environmental constraints.
Several lines of evidence suggest neuronal mechanism for the initiation of movements i.e. in the supplementary motor area (SMA) and the premotor cortex and for movement planning mechanism generating velocity profiles satisfying time constraints.
In order to meet the requirements of on-line evolving trajectories we propose a model, based on dynamical systems which describes goal directed trajectories in humans and generates trajectories for redundant anthropomorphic robotic arms. The analysis of the attractor dynamics based on the qualitative comparison with measurements of resulting trajectories taken from arm movement experiments with humans created a framework able to reproduce and to generate naturalistic human like arm trajectories.
đ Wir freuen uns, bekannt zu geben, dass das Iossifidis Lab an der Bernstein-Konferenz teilgenommen und dort spannende Forschungsarbeiten unserer talentierten Teammitglieder Marie Dominique Schmidt, Aline Xavier Fidencio, Felix GrĂŒn und Stephan Lehmler prĂ€sentiert hat. Unsere BeitrĂ€ge umfassten:đč Error-related potentials and reinforcement learning for neuroadaptive systemsâFidĂȘncio AX, Iossifidis I đč A Framework to Model Your Model-Based / … Read More “Iossifidis Lab auf der Bernstein Konferenz 2025” »

