Daniel Richards’s research while affiliated with Queensland University of Technology and other places

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Publications (1)


Figure 2. Overview of the multi-robot system. When a farmer interacts with the user interface messages are forwarded to the coverage planner and robots are updated.
Figure 3. Qgroundcontrol user interface for UAVs.
Figure 4. this figure show the three different states the robot can be in along with the battery and spray levels of each robot. The arrow shows the robot's current heading.
Figure 5. Screenshot of the user interface displaying one active robot, the already travelled path in red and the desired path in blue. 
Figure 6. A representative farm layout used in whole farm experiments. White lines indicate field boundaries. Red lines indicate segments of the inter-field road network. 
User interface and coverage planner for agricultural robotics
  • Conference Paper
  • Full-text available

December 2015

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1,208 Reads

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9 Citations

Daniel Richards

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Farmers are under growing pressure to increase production, a challenge that robotics has the potential to address. A possible solution is to replace large farm machinery with numerous smaller robots. However, with a large number of robots it will become increasingly time consuming for the farmer to monitor and control them all, hence the need for an effective user interface and automatic multi-robot coordination. This paper describes the design of a user interface and coverage planner suitable for controlling multiple robots for typical coverage style farm operations. The cross-platform user interface allows the farmer to specify their farm including fields, roads and docking stations. The coverage planner splits the workload between the robots and plans periodic docking. The results for the different multi-robot coverage strategies demonstrate the advantage of the robots sequentially moving between fields rather than freely moving between them. The multi-robot system has been used for a coverage task on a real farm for controlling two real robots and four simulated robots operating for two days.

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Citations (1)


... Moreover, the travelling salesman problem methodology is applied on [174], [175] and [176] for the optimization of coverage planning for capacitated fields operations and route planning for sugarcane and avocado harvesting respectively. In [177], the field area coverage is handled by the users themselves through a UI that allows them to schedule the robots' routes taking also into account refilling stations to replenish their resources (e.g. pesticide and energy). ...

Reference:

A Survey of Robotic Harvesting Systems and Enabling Technologies
User interface and coverage planner for agricultural robotics