Sobre nosotros
¡Bienvenido al Madrid Machine Learning Meetup! El evento donde se revisan los últimos avances en Deep Learning a través de la lectura y discusión conjunta de artículos científicos.
Si te inquietan StableDiffusion, LLMs, Transformers, NeRF’s, GNNs, GANs y otros, acércate al MIL a conocer estos temas en detalle de la mano de expertos en la materia.
El Reading Group está organizado por la Universidad Politécnica de Madrid, U. Rey Juan Carlos, Apolo AI y ARQUIMEA Research Center en colabiración con el Ayuntamiento de Madrid.
Puedes ver las sesiones anteriores en:
https://youtube.com/playlist?list=PLHeG8vnHL6C8mOU8K8vs2j9I7dSMYCgJQ
Eventos próximos
1
𖥂🤖Trajectory Planning and Constraint Guarantees with Neural Networks
Madrid Innovation Lab, C. de Bravo Murillo, 39, Madrid, MD, ESWelcome to the Madrid ML Meetup! 🤗
Robotics, drones, and autonomous navigation fans, this one is for you! Join us for a deep dive into the future of autonomous trajectory planning, from agile drones navigating dynamic environments to neural networks with hard safety constraints.
In this seminar, Dr. Jesús Tordesillas will walk us through recent advances in safe and efficient robot motion planning, including:- 🚁 Drone trajectory planning with MINVO and MADER
- 👁️ Perception-aware navigation with PANTHER and Deep-PANTHER
- 🧠 Constrained deep learning with RAYEN
- ✨ Recent work on differentiable simulation and trajectory optimization with Gaussian Splats
Our speaker, Dr. Jesús Tordesillas, received his Ph.D. from MIT in 2022, where he worked in the Aerospace Controls Laboratory with Prof. Jonathan P. How. He has also worked at NASA JPL on the DARPA Subterranean Challenge, and later held postdoctoral positions at MIT and ETH Zurich in the Robotic Systems Lab led by Prof. Marco Hutter.
He is now an Assistant Professor at ICAI, Comillas Pontifical University, where his research focuses on trajectory planning, optimization, robotics, and constrained deep learning.
🔗 More about his work: https://robotics-trail.github.ioThe event is organized by Machine Learning Circle, Universidad Politécnica de Madrid, Universidad Rey Juan Carlos, and ARQUIMEA Research Center, in collaboration with the Madrid City Council. 🏦
17 asistentes
Eventos pasados
22
