Papers

4

Total Citations

35

H-Index

4

About

Euan Judd is a pioneering researcher at the intersection of soft robotics, tactile sensing, and embodied intelligence. His work fundamentally reimagines how robots perceive and interact with their environment, moving beyond traditional rigid sensors to exploit the physical properties of soft materials. Judd’s most influential contribution is the development of **NeatSkin**, a novel artificial skin sensor based on electrical impedance tomography (EIT). By using a discrete network of fluidic channels to infer touch location, this sensor offers a robust, scalable, and low-cost solution for whole-body robotic sensing, a concept that has garnered significant attention (9+ citations). His research on **morphological computation** (15 citations) demonstrates how a robot’s body itself can be used for non-contact object localisation, a paradigm-shifting idea that reduces the need for complex control algorithms. Judd has also advanced practical manipulation by developing a soft force sensor capable of **slip anticipation** for grasping deformable objects, addressing a critical challenge in food handling and medical robotics. With over 35 total citations, his work is laying the groundwork for the next generation of adaptive, soft-bodied robots that can safely and effectively operate in unstructured, human-centric environments.

Research Focus

Key Achievements

4
H-Index
4
Papers
35
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Sensing Through the Body - Non-Contact Object Localisation Using Morphological Computation
15 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Bristol, École Polytechnique Fédérale de Lausanne

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago