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Google DeepMind’s SIMA Project Enhances Agent Performance in Dynamic 3D Environments Across Various Platforms
The exploration of artificial intelligence within dynamic 3D environments has…
This AI Paper Proposes a Pipeline for Improving Imitation Learning Performance with a Small Human Demonstration Budget
The practical application of robotic technology in automatic assembly processes…
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…
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…
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…
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…