Raziel Riemer
Papers
7
Total Citations
213
H-Index
6
About
Raziel Riemer’s research bridges biomechanics and robotics, with a central focus on understanding human locomotion to inform the design of lower-limb exoskeletons and wearable robotic devices. His most influential work, a 2020 paper with 90 citations, provides a joint-level analysis of walking and running on slopes, offering a biologically-inspired framework for tailoring exoskeleton assistance to variable, real-world terrains. This work is complemented by a comprehensive study on the metabolic cost of carrying added mass, which quantifies how speed, load, and mass location affect energy expenditure—critical knowledge for designing load-bearing assistive devices. Riemer’s contributions extend beyond human locomotion into agricultural robotics, where he developed a scaled-down prototype for a visually guided date palm tree sprayer, addressing safety and efficiency in elevated farming operations. His earlier work on robot repeatability, with 29 citations, established error-analysis models linking kinematic parameters to positioning accuracy. More recently, he has derived parametric equations to predict lower-limb joint kinematics and kinetics during slope walking and running, aiding both neuromechanics research and exoskeleton design. With a career spanning human energetics, rehabilitation robotics, and agricultural automation, Riemer’s research has practical implications for enhancing mobility and reducing physical burden across diverse populations.
Research Focus
Key Achievements
Top Papers
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- 3Evaluation of influence of target location on robot repeatability29 citations · 2000
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- 7Energetically Optimal Gait Transition Velocities of a Quadruped Robot5 citations · 2013