1 citations · 1 across the 4 of their papers we have counts for
4 papers
Route Fragmentation Based on Resource-centric Prioritisation for Efficient Multi-Robot Path Planning in Agricultural Environments
James R. Heselden, Gautham P. Das
Agricultural environments present high proportions of spatially dense navigation bottlenecks for long-term navigation and operational planning of agricultural mobile robots. The ex…
Semantic Landmark Particle Filter for Robot Localisation in Vineyards
Rajitha de Silva, Jonathan Cox, James R. Heselden +3
Reliable localisation in vineyards is hindered by row-level perceptual aliasing: parallel crop rows produce nearly identical LiDAR observations, causing geometry-only and vision-ba…
Semantic-Aware Particle Filter for Reliable Vineyard Robot Localisation
Rajitha de Silva, Jonathan Cox, James R. Heselden +3
Accurate localisation is critical for mobile robots in structured outdoor environments, yet LiDAR-based methods often fail in vineyards due to repetitive row geometry and perceptua…
Unified Map Handling for Robotic Systems: Enhancing Interoperability and Efficiency Across Diverse Environments
James R. Heselden, Gautham P. Das
Mapping is a time-consuming process for deploying robotic systems to new environments. The handling of maps is also risk-adverse when not managed effectively. We propose here, a st…