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Found 8 papers, 6 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.
Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots
Designing optimal soft modular robots is difficult, due to non-trivial interactions between morphology and controller.
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
Vision-based Drone Flocking in Outdoor Environments
We employ a convolutional neural network to detect and localize nearby agents onboard the quadcopters in real-time.
SwarmLab: a Matlab Drone Swarm Simulator
Among the available solutions for drone swarm simulations, we identified a gap in simulation frameworks that allow easy algorithms prototyping, tuning, debugging and performance analysis, and do not require the user to interface with multiple programming languages.
Robotics
UWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset
We show the viability of this system for autonomous flight of UAVs, and provide open-source methods and data that enable its widespread application even with movable anchor systems.
Robotics Systems and Control Systems and Control
Learning Vision-based Flight in Drone Swarms by Imitation
Decentralized drone swarms deployed today either rely on sharing of positions among agents or detecting swarm members with the help of visual markers.
Learning Vision-based Cohesive Flight in Drone Swarms
This paper presents a data-driven approach to learning vision-based collective behavior from a simple flocking algorithm.
