#RobotLearning
I'm excited about today's talk at the @montrealrobotics.bsky.social #robotlearning seminar @mila-quebec.bsky.social ! We have @keerthanpg.bsky.social talking about her recent work at Google Robotics.
April 11, 2025 at 2:01 PM
Lecture recordings.
Part 1: Fundamentals youtu.be/Lc8a8RtgJmw
Part 2: Scaling youtu.be/LUWhcdoGvtQ
RobotLearning: Scaling PolicyGradients Part 1
YouTube video by Montreal Robotics
youtu.be
March 3, 2025 at 8:00 PM
The recorded talk is here:
youtu.be/cDrBQu2gPZI
RobotLearning: Gemini Robotics
YouTube video by Montreal Robotics
youtu.be
April 13, 2025 at 10:17 PM
Here are my next set of lectures on #foundationalmodels for #Robotics. This set covers topics of training large forward models, #videogeneration models, #Inversedyanmics models and how to train #forwardmodels to have good support.
youtu.be/hc_9Qe-wgnE
RobotLearning Learning2Plan With Large Models
YouTube video by Montreal Robotics
youtu.be
February 6, 2025 at 2:33 AM
RobotLearning: Gemini Robotics
Keerthana Gopalakrishnan
Montreal Robotics
youtu.be/cDrBQu2gPZI?...
RobotLearning: Gemini Robotics
YouTube video by Montreal Robotics
youtu.be
April 15, 2025 at 7:49 AM
Releasing my next set of lectures from my class on #Robotlearning. Last week's topic was scaling #BehaviorCloning.

youtu.be/5hNxQ1l_Ago
Robot Learning: Scaling Behavoir Cloning
YouTube video by Montreal Robotics
youtu.be
January 27, 2025 at 5:51 PM
Part 2 of these lectures.
youtu.be/ZgyhcKGJodk?...
RobotLearning Learning2Plan With Large Models Part2
YouTube video by Montreal Robotics
youtu.be
February 6, 2025 at 2:47 AM
How can control policies be trained from offline data and scaled to larger models and datasets? In this #robotlearning lecture, I cover common methods for training policies from fixed data, and then I discuss recent research on how to scale these methods to #largemodels and #largedatasets.
RobotLearning: Scaling Offline Reinforcement Learning
YouTube video by Montreal Robotics
youtu.be
March 20, 2025 at 2:15 PM
#RobotLearning lecture update. These next lectures cover deep #qlearning fundamentals quickly and then get into the challenges of training #largemodels, maintaining the contraction property with target networks, network structure, and better optimizers.
March 10, 2025 at 3:52 PM
Deep policy gradients are used to train the largest #LLM models and are the main #reinforcementlearning algorithm in sim2real transfer. In my next set of lectures on #robotlearning I cover the basics of policy gradients to the methods used to train #AlphaStar (in part 2).
March 3, 2025 at 8:00 PM
Does anyone have a good ML pipeline for tuning lecture recordings into articles or book chapters? I have created lots of content for my #RobotLearning class: slides, recordings, homework, etc. It would be great to have an LLM turn all this content into a nice reference for researchers.
January 14, 2025 at 5:57 PM
In my last lecture on large-scale #robotlearning, I cover one of my most interesting directions, generalization across sequences and robots. This generalization across sequences of actions or states is a challenging, data-intensive process that requires experience across various robots and tasks.
May 28, 2025 at 1:35 PM
🧩 @jmendezm.bsky.social (Stony Brook University)

Talk: Unlocking Lifelong Robot Learning With Modularity

Jorge shows how modularity in robotics enables scalable lifelong learning for robots.

#RobotLearning #Modularity #EmbodiedAI
August 5, 2025 at 5:17 PM
RobotLearning: Scaling Offline Reinforcement Learning
YouTube video by Montreal Robotics
youtu.be
March 20, 2025 at 2:15 PM
Next week I will head to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) #IROS2026 in Pittsburgh. I'll be there for the full week, 27 Sep – 1 Oct, workshops included, and would love to connect. Here's where you'll definitely find me.

#Robotics #RobotLearning #HRI #VLM
September 15, 2026 at 7:11 PM
Many recent #robotlearning works, such as Hi-robot, Gemini-Robotics, Helix, etc., use different types of hierarchical planning. In this lecture, I review hierarchical #reinforcementlearning for humanoid control, before discussing how these methods are used in recent works.
April 3, 2025 at 2:25 PM
🚨 We're hiring a Postdoc in Robot Learning @ PEARL Lab, TU Darmstadt 🚨

Join our ERC-funded project SIREN (Structured Interactive Perception and Learning for Holistic Robotic Embodied Intelligence).

#robotics #AI #postdoc #ERCgrant #RobotLearning #EmbodiedAI #AIRobots
#MachineLearning#roboticsjobs
Open positions
We are seeking for an excellent Postdoc to join our group and contribute to the ERC StG SIREN. Job description available here We are seeking for enthusiastic researchers that want to work on highly…
pearl-lab.com
May 25, 2025 at 9:24 AM
A new era in robotics is here.
Simulations and robot learning are reshaping the industry.
Add world foundation models, and we now have AI-powered robots that can adapt to complex, ever-changing environments. The future is unfolding.

#AI #Robotics #RobotLearning #Simulation #FoundationModels #Future
April 13, 2025 at 8:16 PM
#DeepQlearning for continuous actions is key for controlling many types of #robots, but it has been tricky to train #largeModels to achieve those performance gains. In these lectures, I cover the fundamentals and explain how new research is bending the rules of the #deadlytriad to advance #scaling.
RobotLearning: Scaling Continuous Deep QLearning Part1
YouTube video by Montreal Robotics
youtu.be
March 18, 2025 at 1:53 AM
Next week I will head to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) #IROS2026 in Pittsburgh. I'll be there for the full week, 27 Sep – 1 Oct, workshops included, and would love to connect. Here's where you'll definitely find me.

#Robotics #RobotLearning #HRI #VLM
September 15, 2026 at 7:11 PM
This has been a wild week! I have been planning to take my lecture recordings from 3 years + my slides and turn them into a book on #RobotLearning! It seemed like the perfect 12 days to push! I got about halfway through before Fable was disrupted. Stay tuned for updates.
June 14, 2026 at 3:52 PM
June 21, 2024 at 1:10 PM
These topics include exploration benefits, problem decomposition, credit assignment, challenges in training a good low-level policy, and co-training policies together.

Video link: youtu.be/rEO6tyVaMzM
RobotLearning: Hierarchical Planning with Large Models
YouTube video by Montreal Robotics
youtu.be
April 3, 2025 at 2:25 PM
RobotLearning: Scaling Behavoir Cloning
Montreal Robotics
youtu.be/5hNxQ1l_Ago?...
RobotLearning: Scaling Behavoir Cloning
YouTube video by Montreal Robotics
youtu.be
January 21, 2025 at 8:30 AM