Christopher G. Pretty

University of Canterbury

Papers

16

Total Citations

278

H-Index

8

About

Christopher G. Pretty is a leading researcher in the field of mixed reality (MR)-enhanced teleoperation and robotic manipulation, with a particular focus on intuitive human-robot interaction. His most impactful work centers on developing integrated MR and haptic feedback systems that allow operators to remotely control complex robotic platforms—from mobile manipulators to robotic arm-hand systems—with unprecedented precision and immersion. Notably, his 2022 paper on MR-integrated 3D/2D vision mapping for teleoperation and his 2023 review of extended reality for hazardous telemanufacturing have each garnered 49 citations, highlighting their significance in addressing critical needs in space exploration, deep-sea discovery, and nuclear rehabilitation. Pretty has also made substantial contributions to the design and control of specialized robots, including snake robots with active stiffness control for adaptive locomotion on uneven terrain and the MARIO omnidirectional mobile robot for primary production automation. His work on visual odometry for GPS-denied navigation and sparse point cloud registration further demonstrates his versatility in solving real-world robotic challenges. With over 250 total citations, Christopher G. Pretty stands out for bridging virtual and physical worlds to make remote robotic operations safer, more intuitive, and more effective.

Research Focus

Key Achievements

8
H-Index
16
Papers
278
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Mixed reality-integrated 3D/2D vision mapping for intuitive teleoperation of mobile manipulator
49 citations · 2022
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: University of Canterbury

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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