At the 1st Workshop on Embodied AI and Robotics for Future Scientific Discovery (AIR4S) at IROS 2025, my colleagues and I are presenting a robot execution tracing system and virtual lab environment to facilitate reproducible research with robots.
Tag
robot-learning
5 posts
At CASE 2025, my colleagues and I are presenting a novel AI-based framework for robust, data-driven connector mating in robotic wire harness installation, combining visuotactile learning with model-based optimization.
A summary of our recent paper on a semi-autonomous robotic assistance system for minimally invasive surgery that allows surgeons to demonstrate retraction tasks while ensuring the interpretability of resulting behavior.
A lecture I gave at the 2022 EASE Fall School in Bremen, Germany, on the combination of explicit knowledge representation, reasoning and deep learning for industrial robotics.
A companion blog post to our 2021 ICRA paper on data-driven robot program parameter optimization.