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Power Line Inspection Tasks With Multi-Aerial Robot Systems Via Signal Temporal Logic Specifications
- Source :
- IEEE Robotics and Automation Letters
- Publication Year :
- 2021
-
Abstract
- A framework for computing feasible and constrained trajectories for a fleet of quad-rotors leveraging on Signal Temporal Logic (STL) specifications for power line inspection tasks is proposed in this paper. The planner allows the formulation of complex missions that avoid obstacles and maintain a safe distance between drones while performing the planned mission. An optimization problem is set to generate optimal strategies that satisfy these specifications and also take vehicle constraints into account. Further, an event-triggered replanner is proposed to reply to unforeseen events and external disturbances. An energy minimization term is also considered to implicitly save quad-rotors battery life while carrying out the mission. Numerical simulations in MATLAB and experimental results show the validity and the effectiveness of the proposed approach, and demonstrate its applicability in real-world scenarios.<br />Comment: 8 pages, 12 figures, journal paper
- Subjects :
- FOS: Computer and information sciences
0209 industrial biotechnology
Control and Optimization
Optimization problem
Computer science
Semantics (computer science)
Real-time computing
Biomedical Engineering
02 engineering and technology
Energy minimization
Set (abstract data type)
Computer Science - Robotics
020901 industrial engineering & automation
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Computer Science - Multiagent Systems
MATLAB
computer.programming_language
Mechanical Engineering
Drone
Computer Science Applications
Term (time)
Human-Computer Interaction
Control and Systems Engineering
Trajectory
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
computer
Robotics (cs.RO)
Multiagent Systems (cs.MA)
Subjects
Details
- ISSN :
- 23773766
- Database :
- OpenAIRE
- Journal :
- IEEE Robotics and Automation Letters
- Accession number :
- edsair.doi.dedup.....5058d389bc9ab396787bf27e7f5591cf
- Full Text :
- https://doi.org/10.1109/lra.2021.3068114