activity
20192021
most citedProbabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction using a Graph Vehicle-Pedestrian Attention Network

99 citations · 115 across the 8 of their papers we have counts for

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Showing cs.ROShow all

5 papers · 1 filter

cs.RO2021★ 6 cited

Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture

Stuart Eiffert, Nathan D. Wallace, He Kong +2

For mobile robots to be effectively applied to real world unstructured environments -- such as large scale farming -- they require the ability to generate adaptive plans that accou…

cs.RO2021

Toolbox Spotter: A Computer Vision System for Real World Situational Awareness in Heavy Industries

Stuart Eiffert, Alexander Wendel, Peter Colborne-Veel +3

The majority of fatalities and traumatic injuries in heavy industries involve mobile plant and vehicles, often resulting from a lapse of attention or communication. Existing approa…

cs.RO2021

Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture

Stuart Eiffert, Nathan D. Wallace, He Kong +2

Achieving long-term autonomy for mobile robots operating in real-world unstructured environments such as farms remains a significant challenge. This is made increasingly complex in…

cs.RO2020

A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming

Stuart Eiffert, Nathan D. Wallace, He Kong +2

Achieving long term autonomy of robots operating in dynamic environments such as farms remains a significant challenge. Arguably, the most demanding factors to achieve this are the…

cs.RO2020

Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search

Stuart Eiffert, He Kong, Navid Pirmarzdashti +1

State of the art methods for robotic path planning in dynamic environments, such as crowds or traffic, rely on hand crafted motion models for agents. These models often do not refl…