Timothy Wiley
Papers
11
Total Citations
67
H-Index
5
About
Timothy Wiley is an accomplished robotics researcher whose work spans autonomous systems, human–robot interaction, and machine learning for robotic control. Over more than a decade of research, Wiley has made meaningful contributions to some of the field's most challenging problems, including simultaneous localization and mapping (SLAM) in unstructured environments, online learning of robotic behaviours, and the evolving relationship between humans and intelligent machines. His early work focused on practical solutions for rescue robotics, developing encoder-free mapping methods and 3D position tracking systems suited to disaster environments where conventional motion estimation fails. This foundational work in autonomous navigation laid the groundwork for his later contributions to virtual reconstruction and machine learning-based robot control. More recently, Wiley has emerged as a thoughtful voice on the paradigm shift from basic human–robot interaction toward sophisticated human–robot teaming — his 2024 paper on this topic has already garnered 21 citations, reflecting its timeliness and relevance to the broader research community. His engagement with RoboCup Soccer as a testbed for studying human–robot dynamics in public spaces further demonstrates his commitment to real-world, human-centred robotics. Across his portfolio, Wiley consistently bridges theoretical rigour with applied innovation.
Research Focus
Key Achievements
Top Papers
- 1
- 2A method for fast encoder‐free mapping in unstructured environments9 citations · 2011
- 3
- 4A Machine Learning System for Controlling a Rescue Robot6 citations · 2018
- 5
- 6Virtual reconstruction using an autonomous robot4 citations · 2012
- 7
- 8Qualitative Simulation with Answer Set Programming3 citations · 2014
- 9
- 10