Alexander Crammond
Papers
1
Total Citations
2
H-Index
1
About
Alexander Crammond is a researcher whose work sits at the intersection of robotics, biomechanics, and human-machine interaction. His primary focus is on the development of intuitive control systems for anthropomorphic robotic hands, with a particular emphasis on translating human motion into precise robotic action. His most notable contribution, "Commanding an Anthropomorphic Robotic Hand with Motion Capture Data" (2019), presents a novel method for using data from a motion-capture glove to command a five-fingered robotic hand. By detailing the hand’s kinematics and dynamics, and implementing joint space control, Crammond’s work addresses a critical challenge in prosthetics and teleoperation: achieving natural, dexterous manipulation. While his citation count is modest, the foundational nature of this research—bridging sensor data with robotic actuation—positions it as a stepping stone for future advances in assistive robotics and human-robot collaboration. Crammond’s approach offers a compelling vision for how we might one day seamlessly merge human intent with machine capability.
Research Focus
Key Achievements
Top Papers
- 1Commanding an Anthropomorphic Robotic Hand with Motion Capture Data2 citations · 2019