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Theia: A Robot Vision Foundation Model that Simultaneously Distills Off-the-Shelf VFMs such as CLIP, DINOv2, and ViT
Visual understanding is the abstracting of high-dimensional visual signals like…
Google DeepMind Researchers Present Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
Technological advancements in sensors, AI, and processing power have propelled…
Hyperion: A Novel, Modular, Distributed, High-Performance Optimization Framework Targeting both Discrete and Continuous-Time SLAM Applications
In robotics, understanding the position and movement of a sensor…
A Simple Open-loop Model-Free Baseline for Reinforcement Learning Locomotion Tasks without Using Complex Models or Computational Resources
The field of deep reinforcement learning (DRL) is expanding the…
OpenVLA: A 7B-Parameter Open-Source VLA Setting New State-of-the-Art for Robot Manipulation Policies
A major weakness of current robotic manipulation policies is their…
Researchers at Stanford Propose TRANSIC: A Human-in-the-Loop Method to Handle the Sim-to-Real Transfer of Policies for Contact-Rich Manipulation Tasks
Learning in simulation and applying the learned policy to the…