Papers
10
Total Citations
77
H-Index
5
About
Sajeeva Abeywardena is a pioneering researcher at the intersection of surgical robotics and human augmentation, with a particular focus on enhancing human physical capabilities through wearable robotic systems. His work spans two major domains: force estimation in robot-assisted surgery and the development of supernumerary robotic limbs for balance augmentation. In surgical robotics, Abeywardena developed a novel neural network-based algorithm that estimates tool-tissue forces in minimally invasive surgery without external force sensors, using motor current data instead—a contribution that has garnered 32 citations and significant attention in the field. His most distinctive work involves the mechanical characterization and control of wearable robotic tails inspired by nature, designed to augment human balance in industrial and aging populations. Through a series of publications from 2022 to 2024, including work in IEEE Transactions on Robotics, Abeywardena has systematically modeled, designed, and validated these supernumerary limbs, demonstrating their potential to enhance postural stability by accounting for neural delay dynamics often overlooked in wearable robot design. His research, which has accumulated over 70 citations, represents a novel approach to human augmentation that bridges biomechanics, control theory, and robotics.
Research Focus
Key Achievements
Top Papers
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- 4Towards Finger Motion Tracking and Analyses for Cardiac Surgery8 citations · 2019
- 5Human balance augmentation via a supernumerary robotic tail7 citations · 2022
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- 9How Robots Can Support Balancing in Healthy People2 citations · 2024
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