Current evidence on robot scaling laws, open questions, and why scaling laws matter for the safety of physical AI.
Category
blog
13 posts
Why advanced physical AI poses distinct risks, the questions the field has not answered, and an invitation to work on them.
What makes hard work feel meaningful, and does meaning emerge?
A summary of my invited talk at Safe AI Germany (SAIGE) on safety threats arising from physical AGI, and a tentative research agenda for grounding the discussion in empirical evaluations on real hardware.
A writeup of my one-week bikepacking trip through Northern California.
Introducing KRROOD, an open-source framework that brings native knowledge representation and reasoning capabilities to Python and bridges the gap between symbolic AI and modern software development.
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.
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.
The AICOR Virtual Research Building (VRB) is our contribution to open science, replicable experiments and open education in robotics.
Why researchers should care about science communication, and how to use symbols and slogans to make a talk memorable.
A companion blog post to our 2021 ICRA paper on data-driven robot program parameter optimization.
How Spiking Neural Networks (SNNs) and the Neurorobotics Platform can be leveraged for robot control and perception.