Navigational Path-Planning For All-Terrain Autonomous Agricultural Robot

by   Vedant Ghodke, et al.

The shortage of workforce and increasing cost of maintenance has forced many farm industrialists to shift towards automated and mechanized approaches. The key component for autonomous systems is the path planning techniques used. Coverage path planning (CPP) algorithm is used for navigating over farmlands to perform various agricultural operations such as seeding, ploughing, or spraying pesticides and fertilizers. This report paper compares novel algorithms for autonomous navigation of farmlands. For reduction of navigational constraints, a high-resolution grid map representation is taken into consideration specific to Indian environments. The free space is covered by distinguishing the grid cells as covered, unexplored, partially explored and presence of an obstacle. The performance of the compared algorithms is evaluated with metrics such as time efficiency, space efficiency, accuracy, and robustness to changes in the environment. Robotic Operating System (ROS), Dassault Systemes Experience Platform (3DS Experience), MATLAB along Python were used for the simulation of the compared algorithms. The results proved the applicability of the algorithms for autonomous field navigation and feasibility with robotic path planning.


page 1

page 2

page 3

page 4

page 5

page 6

page 7


Online Coverage Planning for an Autonomous Weed Mowing Robot with Curvature Constraints

The land used for grazing cattle takes up about one-third of the land in...

Systematic Comparison of Path Planning Algorithms using PathBench

Path planning is an essential component of mobile robotics. Classical pa...

Design of an Autonomous Precision Pollination Robot

Precision robotic pollination systems can not only fill the gap of decli...

Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection

Regular irradiation of indoor environments with ultraviolet C (UVC) ligh...

Autonomous object harvesting using synchronized optoelectronic microrobots

Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micro...

On the Use of the Observability Gramian for Partially Observed Robotic Path Planning Problems

Optimizing measures of the observability Gramian as a surrogate for the ...

Reasoning in complex environments with the SelectScript declarative language

SelectScript is an extendable, adaptable, and declarative domain-specifi...