Invention Grant
- Patent Title: Learning mechanism for autonomous trucks for mining and construction applications
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Application No.: US16679376Application Date: 2019-11-11
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Publication No.: US11644843B2Publication Date: 2023-05-09
- Inventor: Alberto Daniel Lacaze , Karl Nicholas Murphy
- Applicant: Robotic Research OpCo, LLC
- Applicant Address: US MD Clarksburg
- Assignee: ROBOTIC RESEARCH OPCO, LLC
- Current Assignee: ROBOTIC RESEARCH OPCO, LLC
- Current Assignee Address: US MD Clarksburg
- Agency: RowanTree Law Group, PLLC
- Agent Frederick F. Rosenberger
- Main IPC: G05D1/02
- IPC: G05D1/02 ; G05D1/00

Abstract:
The invention simplifies the process of utilizing mmmg or construction trucks to automatically carry ore, dirt, or other matter from one location to another. Transportation of the dirt, ore, or matter is usually performed using trucks with loaders or excavators. The trucks then take the loads and deposit them in piles, which are then used for the next step of the mining or construction process. The invention uses a teach-and-follow process to establish the trajectories that these paths must follow. The present invention describes a system to record and execute trajectories for autonomous mining and construction trucks. This system comprises one or more sensors that can detect road features, a drive-by-wire kit installed onto the truck(s), a user interface that allows the operator to learn trajectories and “replay trajectories”, and a planning algorithm that creates trajectories which take the vehicle from a starting location to an ending location (final destination), while maintaining the vehicle inside of the allowed driving envelope. The invention allows the user to drive the truck along the desired route and have the truck automatically learn the route using features in the environment to localize. In future runs, the truck is able to automatically follow the learned route.
Public/Granted literature
- US20200225675A1 Learning Mechanism for Autonomous Trucks for Mining and Construction Applications Public/Granted day:2020-07-16
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