RotorTM: A Flexible Simulator for Aerial Transportation and Manipulation
arXiv:2205.05140 · doi:10.1109/TRO.2023.3336320
Abstract
Low-cost autonomous Micro Aerial Vehicles (MAVs) have the potential to help humans by simplifying and speeding up complex tasks that require their interaction with the environment, such as construction, package delivery, and search and rescue. These systems, composed of single or multiple vehicles, can be endowed with passive connection mechanisms such as rigid links or cables to perform transportation and manipulation tasks. However, they are inherently complex since they are often underactuated and evolve in nonlinear manifold configuration spaces. In addition, the complexity of systems with cable-suspended load is further increased by the hybrid dynamics depending on the cables' varying tension conditions. This paper presents the first aerial transportation and manipulation simulator incorporating different payloads and passive connection mechanisms with full system dynamics, planning, and control algorithms. Furthermore, it includes a novel general model accounting for the transient hybrid dynamics for aerial systems with cable-suspended load to closely mimic real-world systems. The availability of a flexible and intuitive interface further contributes to its usability and versatility. Comparisons between simulations and real-world experiments with different vehicles' configurations show the fidelity of the simulator results with respect to real-world settings. The experiments also show the simulator's benefit for the rapid prototyping and transitioning of aerial transportation and manipulation systems to real-world deployment.
This paper has been accepted for publication in the IEEE Transactions on Robotics (T-RO), 2024. Please cite the paper using appropriate formats
References in corpus (2)
Cited by in corpus (5)
- Nonlinear Model Predictive Control for Cooperative Transportation and Manipulation of Cable Suspended Payloads with Multiple Quadrotors
- Survey of Simulators for Aerial Robots: An Overview and In-Depth Systematic Comparisons
- Agile and Cooperative Aerial Manipulation of a Cable-Suspended Load
- Human-Aware Physical Human-Robot Collaborative Transportation and Manipulation with Multiple Aerial Robots
- Robustness Enhancement for Multi-Quadrotor Centralized Transportation System via Online Tuning and Learning