Jack Hadfield

About

Jack Hadfield is a researcher at the intersection of robotics, human-robot interaction, and computer vision, with a particular focus on child-robot interaction and assistive technologies. His most cited work, "ChildBot: Multi-robot perception and interaction with children" (2021, 26 citations), demonstrates his leadership in developing multi-robot systems capable of perceiving and engaging with children in natural, unstructured environments. Hadfield has also made notable contributions to assistive robotics, as seen in his work on gait stability prediction for intelligent robotic rollators, where he pioneered the fusion of deep learning-based pose estimation with LSTM networks to enhance mobility support for the elderly. Additionally, his research on object assembly guidance in child-robot interaction (2018, 4 citations) introduced a novel RGB-D based 3D tracking algorithm that enables autonomous humanoid robots to supervise and assist children in complex assembly tasks. This work exemplifies his ability to combine real-time perception with interactive robotics, advancing both educational robotics and assistive technologies. Hadfield’s interdisciplinary approach continues to shape how robots perceive, understand, and collaborate with humans in dynamic real-world settings.

Research Focus

Key Achievements

Top Papers

1. 1
   ChildBot: Multi-robot perception and interaction with children

   26 citations · 2021
2. 2
   On-line Human Gait Stability Prediction using LSTMs for the fusion of Deep-based Pose Estimation and LRF-based Augmented Gait State Estimation in an Intelligent Robotic Rollator.

   4 citations · 2018
3. 3
   Object Assembly Guidance in Child-Robot Interaction using RGB-D based 3D Tracking

   4 citations · 2018

Key Collaborators

Contact & Links