Daniel J. Ingram

University of Kent

Papers

2

Total Citations

108

H-Index

2

About

Daniel J. Ingram is a researcher at the intersection of robotics and ecological monitoring, whose work bridges the gap between autonomous systems and biodiversity conservation. His most influential contribution is the creation of **PythonRobotics**, an open-source software collection of robotics algorithms that has become a foundational resource for students and practitioners in autonomous navigation. With **95 citations**, this project has democratized access to core robotics concepts, enabling beginners to implement and understand algorithms for path planning, localization, and control. More recently, Ingram has turned his expertise toward a pressing global challenge, co-authoring a forward-looking paper on the **opportunities and challenges for monitoring terrestrial biodiversity in the robotics age**. This work, already garnering **13 citations** since its 2025 publication, argues that robotic and autonomous systems (RAS) can revolutionize species population monitoring, offering scalable solutions to track biodiversity loss. By uniting robotics with conservation science, Ingram is pioneering a new frontier where autonomous systems serve as tools for environmental stewardship, making his research both technically rigorous and socially impactful.

Research Focus

Key Achievements

2
H-Index
2
Papers
108
Total Citations
54
Avg Citations/Paper
🏆 Most Cited Paper
PythonRobotics: a Python code collection of robotics algorithms
95 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 103
🏛 Institutions: University of Kent

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago