Predicting Responses to a Robot's Future Motion using Generative Recurrent Neural Networks. - Stuart Eiffert; Salah Sukkarieh (CoRR, 2019)

A Hierarchical Framework for Long-term and Robust Deployment of Field Ground Robots in Large-Scale Farming. - Stuart Eiffert; Nathan D. Wallace; He Kong; Navid Pirmarzdashti; Salah Sukkarieh (CASE, 2020)

Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search. - Stuart Eiffert; He Kong; Navid Pirmarzdashti; Salah Sukkarieh (ICRA, 2020)

Experimental Evaluation of a Hierarchical Operating Framework for Ground Robots in Agriculture. - Stuart Eiffert; Nathan D. Wallace; He Kong; Navid Pirmarzdashti; Salah Sukkarieh (ISER, 2020)

Probabilistic Crowd GAN: Multimodal Pedestrian Trajectory Prediction Using a Graph Vehicle-Pedestrian Attention Network. - Stuart Eiffert; Kunming Li; Mao Shan; Stewart Worrall 002; Salah Sukkarieh; Eduardo M. Nebot (IEEE Robotics Autom. Lett., 2020)

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases. - Kunming Li; Stuart Eiffert; Mao Shan; Francisco Gomez-Donoso; Stewart Worrall 002; Eduardo M. Nebot (ICRA, 2021)

Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation. - Yongliang Qiao; He Kong; Cameron E. F. Clark; Sabrina Lomax; Daobilige Su; Stuart Eiffert; Salah Sukkarieh (Comput. Electron. Agric., 2021)

Toolbox Spotter: A Computer Vision System for Real World Situational Awareness in Heavy Industries. - Stuart Eiffert; Alexander Wendel; Peter Colborne-Veel; Nicholas Leong; John Gardenier; Nathan Kirchner (CoRR, 2021)

Towards Collision-Free Probabilistic Pedestrian Motion Prediction for Autonomous Vehicles. - Kunming Li; Mao Shan; Stuart Eiffert; Stewart Worrall 002; Eduardo M. Nebot (IV, 2022)

Resource and Response Aware Path Planning for Long-term Autonomy of Ground Robots in Agriculture. - Stuart Eiffert; Nathan D. Wallace; He Kong; Navid Pirmarzdashti; Salah Sukkarieh (Field Robotics, 2022)