Daniel Morton

@jsuarez Great! I'll send you an email to coordinate

@danielpmorton Sure! Will be there by the 11th

I will be in NYC late next week and Palo Alto for the summer shortly thereafter. If you're at a lab or company doing non-LLM RL and are interested in PufferLib, reply here and I'll come give a talk + Q&A.

Check out our #IROS2025 work on robot safety! We show low-latency teleop up to the limits of the hardware's capabilities, all while enforcing hundreds of CBF constraints at kilohertz control rates. 📄 arxiv.org/pdf/2503.06736 🌐 stanfordasl.github.io/oscbf/ With @danielpmorton

📢 Only two months until our @ieee_ras_icra workshop on Safely Leveraging VLMs in Robotics! #ICRA2025 🎯 How can we safely leverage vision-language foundation models to expand robot deployment? 📅 Short papers & failure demos due 04/11/23 🌐 tinyurl.com/safe-vlm

Introducing one of the fastest and safest robot controllers, for operational space and hierarchical tasks Deploy your learned policies, or teleoperate your robot confidently with OSCBF Website: stanfordasl.github.io/oscbf/ Preprint: arxiv.org/pdf/2503.06736 With @drmapavone

I'm excited to introduce CBFpy: an easy-to-use and high-performance framework for constructing and solving Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs), using Python and Jax. GitHub: github.com/danielpmorton/… Documentation: danielpmorton.github.io/cbfpy/