Connor M. McCann
Harvard University, Yale University, Lincoln University - Pennsylvania
Papers
9
Total Citations
274
H-Index
7
About
Connor M. McCann is a robotics researcher whose work spans soft robotics, wearable assistive technologies, and dexterous manipulation systems. His research has made significant contributions to the design and control of soft robotic devices, particularly for human-centered applications in rehabilitation and industrial safety. McCann's most impactful work focuses on textile-based pneumatic actuators for wearable systems, with his 2021 paper on unfolding textile actuators accumulating 88 citations by offering systematic design frameworks for a previously iterative process. Building on this foundation, his 2024 development of a portable inflatable soft shoulder exoskeleton (75 citations) addresses real-world industrial injury prevention, demonstrating his commitment to translating theory into practical tools. His more recent work integrating personalized machine learning control into wearable robots signals a move toward adaptive, user-specific assistive systems for people with upper limb disabilities. Equally notable is McCann's parallel contributions to dexterous manipulation, where his Stewart-Gough platform-inspired robotic hand introduced a non-anthropomorphic six-degree-of-freedom manipulation approach, earning sustained scholarly attention across multiple publications. Spanning microfluidic amplifiers, reconfigurable structures, and torque measurement methodologies, his broadly innovative portfolio marks him as a versatile and technically rigorous voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1Unfolding Textile-Based Pneumatic Actuators for Wearable Applications88 citations · 2021
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