Grabette: an open system to record robot-manipulation data
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ToyBlocks: A controlled world for robot learning and evaluation
A Blog post by Ai2 on Hugging Face
Egyptian and Nigerian English join the Open ASR Leaderboard
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
New NVIDIA Cosmos 3 Open Models for Interactive World Simulation
A Blog post by NVIDIA on Hugging Face
Clearing up a robot’s fuzzy memory
A new system identifies and corrects unreliable object descriptions stored in a robot’s memory, improving the robot’s ability to interact with its environment.
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What Drives Success in Physical Planning with Joint-Embedding Predictive World Models?
This work characterize models from this family of methods as JEPA-WMs and investigates the technical choices that make algorithms from this class work, and proposes a model that outperforms two established baselines, DINO-WM and V-JEPA-2-AC, in both navigation and manipulation tasks.
Exploring the Landscape of Cloud Robotics: A Comprehensive Review
Cloud robotics is an innovative field that leverages cloud technologies-including cloud computing (CC), cloud storage, deep learning, big data, and the Internet of Things to augment the capabilities of robotics. This integration facilitates the execution of robotic functions through a converged infrastructure and share...
Why Learning Rediscovers the Closed-Form Diagonal Regularizer
We identify a diagonal saturation principle in modal inverse problems: when truncation noise is isotropic, the Bayes-optimal Tikhonov shape is a closed-form power law Gamma_k proportional to lambda_k^|s| set by the prior alone, independent of the domain. Berry's random-wave conjecture decorrelates the truncation noise...
Trajectory Entropy Reinforcement Learning for Robust Robot Motor Skill Learning
This work introduces a novel inductive bias towards simple policies in reinforcement learning by minimizing the entropy of entire action trajectories, corresponding to the number of bits required to describe information in action trajectories after the agent observes state trajectories.