The field of aerial robotics and autonomous systems is rapidly advancing, with a focus on developing innovative solutions for complex tasks such as disaster response, construction, and navigation. Recent research has explored the design of novel aerial vehicles, such as omnidirectional multirotor aerial vehicles, and the development of autonomous systems for tasks like masonry construction and flood monitoring. Noteworthy papers in this area include: Autonomous Reactive Masonry Construction using Collaborative Heterogeneous Aerial Robots, which demonstrates the first experimental validation of fully autonomous aerial masonry construction using heterogeneous UAVs. Push Anything: Single- and Multi-Object Pushing From First Sight with Contact-Implicit MPC, which showcases the capabilities of contact-implicit model predictive control for precise planar pushing tasks over a wide range of object geometries.
Advancements in Aerial Robotics and Autonomous Systems
Sources
Exploring a New Design Paradigm for Omnidirectional MAVs for Minimal Actuation and Internal Force Elimination: Theoretical Framework and Control
Autonomous Reactive Masonry Construction using Collaborative Heterogeneous Aerial Robots with Experimental Demonstration
A Generalized Sylvester-Fermat-Torricelli problem with application in disaster relief operations by UAVs
PolyFly: Polytopic Optimal Planning for Collision-Free Cable-Suspended Aerial Payload Transportation
Integration of a Variable Stiffness Link for Long-Reach Aerial Manipulation
Decentralized Real-Time Planning for Multi-UAV Cooperative Manipulation via Imitation Learning
HumanMPC - Safe and Efficient MAV Navigation among Humans
Multi-UAV Flood Monitoring via CVT with Gaussian Mixture of Density Functions for Coverage Control
Push Anything: Single- and Multi-Object Pushing From First Sight with Contact-Implicit MPC
Simultaneous learning of state-to-state minimum-time planning and control