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Found 2 papers, 2 papers with code
Training Efficient Controllers via Analytic Policy Gradient
Conversely, learning-based offline optimization approaches, such as Reinforcement Learning (RL), allow fast and efficient execution on the robot but hardly match the accuracy of MPC in trajectory tracking tasks.
VIODE: A Simulated Dataset to Address the Challenges of Visual-Inertial Odometry in Dynamic Environments
Dynamic environments such as urban areas are still challenging for popular visual-inertial odometry (VIO) algorithms.
Instance Segmentation
Semantic Segmentation
+1
Robotics
