Patrick Langdon
Papers
4
Total Citations
31
H-Index
3
About
Patrick Langdon’s research career bridges the frontiers of robotics, human-computer interaction, and inclusive design. His early work on neural network architectures for saccade control in robot camera-head systems (1991, 19 citations) laid foundational insights into efficient learning of inverse kinematics, contributing to the field of autonomous vision and motor control. Langdon is perhaps best known for his leadership in universal access and assistive technology, notably through his role in organizing and editing the proceedings of the Cambridge Workshop on Universal Access and Assistive Technology (2004, 7 citations; 2013, 2 citations), which helped shape a more inclusive world by bringing together engineers, designers, and clinicians. His more recent work explores human-robot interaction for fully autonomous vehicles (2017, 3 citations), proposing an “equal-footing” paradigm that reimagines how humans and machines collaborate. Langdon’s contributions have been instrumental in advancing assistive robotics and accessible design, demonstrating how technical innovation can address real-world inclusion challenges. His interdisciplinary approach continues to inspire researchers working at the intersection of robotics, rehabilitation, and universal access.
Research Focus
Key Achievements
Top Papers
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