Rakesh Krishnan

University of Gävle, KTH Royal Institute of Technology

Papers

Total Citations

H-Index

About

Rakesh Krishnan is a researcher focused on the intersection of biomechanics and human-robot interaction, with key contributions in shoulder kinematic modeling and motion segmentation for wearable robotics. His most cited work, "A survey of human shoulder functional kinematic representations" (2018, 47 citations), critically reviews the field’s ability to meet high-reliability computational demands for applications like exoskeletons and rehabilitation, establishing a foundational framework for future shoulder modeling. Krishnan also advanced human-robot synchronization in "Reliably Segmenting Motion Reversals of a Rigid-IMU Cluster Using Screw-Based Invariants" (2018, 5 citations), where he proposed a novel method using screw theory to reliably segment motion reversals from inertial measurement unit data—a key step toward seamless exoskeleton control. His work addresses the critical challenge of translating raw sensor data into robust, real-time motion segmentation, directly impacting the development of assistive and collaborative robots. By bridging theoretical kinematics with practical sensing solutions, Krishnan’s research offers valuable tools for engineers and clinicians aiming to enhance human-robot coordination.