Collaborative Unmanned Aerial Package Pickup and Delivery System
A system using aerial vehicles to autonomously locate and retrieve ground packages of various colors and shapes within a designated area was developed. This system was notable for its use of an innovative rotor configuration that offered a higher degree of control compared to traditional designs. To accurately identify and track the packages, a multi-sensor approach combining vision and Light Detection and Ranging technologies was implemented, integrating data into an extended Kalman filter framework for precise position and velocity estimates. An electro-permanent magnet was employed to securely grab and release the packages, which have a ferrous material. The process of path planning and collision avoidance was conducted in a decentralized manner, leveraging a shared global map among the airborne vehicles. This paper details system technical design, including the integration of various technologies, and shares insights and outcomes derived from its application.
Authors
- Thanakorn Khamvilai (ORCID: https://orcid.org/0000-0001-5739-1338)
- Jintasit Pravitra (ORCID: https://orcid.org/0009-0009-4773-921X)
- Takuma Nakamura
- Stephen Haviland
- Dmitry Bershadsky
- Eric Johnson (ORCID: https://orcid.org/0000-0003-3236-889X)
Institutions
- Texas Tech University (US)
- Pennsylvania State University (US)
- Navamindradhiraj University (TH)
- Optima Neuroscience (United States) (US)
Publication Details
- Journal
- Unmanned Systems
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1142/s2301385024500390
- Citations
- 1
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.35