Ankit Chatterjee
Papers
2
Total Citations
12
H-Index
2
About
Ankit Chatterjee is a rising researcher in the field of wearable robotics and human-machine interaction, with a specific focus on soft exosuits for upper-limb augmentation. His work centers on developing intelligent control strategies and simulation platforms to enhance human biomechanics during lifting and flexion tasks. In his most-cited paper, "An Integrated Dynamic Closed Loop Simulation Platform for Elbow Flexion Augmentation Using an Upper Limb Exosuit Model" (2022, 10 citations), Chatterjee pioneered a simulation framework that captures the complex interaction between wearable devices and human muscle performance, providing a critical tool for parametric optimization and functional design. His subsequent work, "Adaptive Gravity Compensation Control of a Cable-Driven Upper-Arm Soft Exosuit" (2023, 2 citations), introduces an innovative control strategy that eliminates the need for prior knowledge of system dynamics—a significant advancement over traditional model-based approaches. This adaptive method promises more intuitive and robust assistance for lifting tasks, directly impacting rehabilitation and occupational safety. Though early in his career, Chatterjee’s contributions are laying the groundwork for next-generation, user-adaptive exosuits, with potential to transform assistive technology for individuals with mobility impairments or physically demanding jobs.
Research Focus
Key Achievements
Top Papers
- 1
- 2