George P. Jenkinson
Papers
5
Total Citations
40
H-Index
4
About
George P. Jenkinson is a pioneering roboticist whose work bridges soft robotics, bioinspired swarm intelligence, and medical device innovation. His research focuses on creating adaptive robotic systems capable of operating in unstructured, hazardous, or delicate environments—from confined spaces to clinical settings. Jenkinson’s most impactful contribution is the Tetraflex multigait soft robot (2023, 16 citations), which demonstrates unprecedented versatility in locomotion, object manipulation, and environmental mapping within confined spaces. He has also advanced tactile sensing through a pneumatic-controlled optical-tactile sensor for lump detection (2021, 12 citations), directly addressing challenges in medical robotics where safety and comfort are paramount. His bioinspired SPIDER swarm algorithm (2020, 5 citations) tackles adaptive risk-taking in hazardous scenarios like nuclear radiation mapping. Notably, Jenkinson’s work on automated robotic clinical breast examination (2023, 4 citations) explores the acceptability of robotic screening for younger women, addressing an unmet medical need. With a portfolio spanning foundational soft robotics mechanisms to real-world medical applications, Jenkinson is shaping the future of robots that can safely interact with humans and navigate the most challenging environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optical-Tactile Sensor for Lump Detection Using Pneumatic Control12 citations · 2021
- 3SPIDER: a Bioinspired Swarm Algorithm for Adaptive Risk-Taking5 citations · 2020
- 4
- 5A Pressure Controlled Membrane Mechanism for Optimising Haptic Sensing3 citations · 2020