arXiv Robotics research summaries for January 27, 2024.

Today's Research Themes (AI-Generated):

• Multi-Robot Pose Estimation methods compared, including EKF and PGO, evaluated through simulations and real-world Turtlebot3 experiments.

• Online belief prediction model with recurrent neural network enhances POMDP planning in autonomous driving, tested through option-based MCTS and DQN.

• Open-RadVLAD showcases a fast and robust approach for radar-based place recognition using 360-degree radar data and achieves high accuracy.

• A parallel self-assembly planning algorithm and LADRC enhance the cooperative capabilities of modular USVs with various docking mechanisms.

• R×R introduces a Sampling-based Planning method for RL, showing advances in learning dexterous motor control skills and real robot transferability.